Data Scientist Jobs

Lead Data Scientist

From $198/yr

**Lead Data Scientist** At B\&A, we foster and embrace a distinct set of values that we live by and instill in all aspects of our organization: dedication, commitment, partnership, trust, and recognition. We have incorporated these values into successful delivery for our customers since 1988\. B\&A believes in ensuring its employees feel deeply connected to B\&A, recognizing successes and hard work, and providing continuous opportunities to learn and grow. Our people are entrepreneurial thinkers that combine mindset, vision, and experience to drive value – not only to us as an organization, but to the clients we support. We promote a collaborative culture with our clients, and with each other, as one team working towards a common vision. We’d love for you to join our team! **Job Summary** We are seeking a Subject Matter Expert (SME)–level **Lead Data Scientist** to leverage cutting\-edge techniques to extract insights and patterns from large and complex datasets for the U.S. Census Bureau’s Decennial Transformation and Application Modernization (DTAM) effort. This role provides technical and management leadership on major advanced data science assignments, developing advanced algorithms, models, and frameworks using machine learning, deep learning, natural language processing, and generative AI / large language models. The **Lead Data Scientist** ensures AI/ML products are safe, trustworthy, explainable, and compliant with the NIST AI Framework and Census Bureau policies. Decision\-making and domain knowledge may have a critical impact on overall program implementation. May supervise others. **Responsibilities** * Develop advanced algorithms, models, and frameworks leveraging **machine learning, deep learning, neural networks, natural language processing, and generative AI / large language models (LLMs)** * Manage all activities to align with current advanced analytics and data science standards as defined by Decennial, the USCB, and industry best practices * Support the transition of advanced analytics and data science capabilities from **pilot to production** and maintain them in the production environment * Develop **descriptive and predictive models** for survey efforts, including time series, anomaly detection, semi\-supervised, active, and reinforcement learning frameworks * Conduct **data cleaning, filtering, transformation, and feature engineering** to create machine\-learning\-ready datasets * Create, maintain, and use **synthetic data** to support the full lifecycle of advanced data science * Follow AI regulation and ethical principles in accordance with the **NIST AI Framework** to manage AI risk and ensure model trustworthiness * Ensure AI products are safe, secure, explainable, interpretable, privacy\-enhanced, fair, valid, reliable, accountable, and transparent * Develop, document, and test **prototypes and proofs\-of\-concept** leveraging advanced data science * Evaluate trained models with multiple performance metrics, appropriate test sets, and learning curves * Develop and maintain data science documentation, including analysis plans, technical reports, user manuals, and best\-practice templates **Education and Experience** * **PhD** in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field — **mandatory** * **15\+ years** of experience providing technical and management leadership on major data science assignments (SME level) **Required Skills** * Expert proficiency in **Python, R, SAS, and SQL** and associated data science libraries and tools * Demonstrated experience developing and operationalizing **ML, deep learning, NLP, and generative AI / LLM** models * Strong background in predictive modeling, time series analysis, anomaly detection, and feature engineering * Experience creating and using **synthetic data** and privacy\-preserving data techniques * Working knowledge of the **NIST AI Framework** and responsible/ethical AI practices **Desired Skills** * Experience transitioning data science capabilities from pilot to production (MLOps / LLMOps) * Familiarity with differential privacy, federated learning, and secure multi\-party computation * Experience with large\-scale federal statistical or survey data programs * Excellent written and verbal communication skills, including manuscript preparation and executive briefing to senior Government stakeholders **Security Clearance** * **U.S. Citizenship** **required** **More About B\&A:** ***Notable Clients*** B\&A has grown to be a company that is trusted by our clients for exceptional service, innovative solutions, and inspired employees. Our service extends through federal, state, and local Government, the private sector, and higher education. Some of our notable clients include Department of Homeland Security, U.S. Customs and Border Protection, U.S. Senate, U.S. Courts, U.S. Census Bureau, U.S. Navy, and more. ***Benefits and Programs*** B\&A is proud to offer three robust individual and family medical plans to full time employees, including a Health Savings Account (HSA) option as well as two tiers of dental coverage, vision, life \& AD\&D, disability, accident, hospital indemnity, and critical illness insurance. In addition to these benefits, B\&A employees enjoy paid time off, B\&A sponsored trainings and certifications, pet insurance benefits, commuter transit benefits and a free subscription to a virtual exercise platform (NEOU). B\&A’s 401(k) plan is available to all employees and includes a company matching contribution. B\&A has launched several programs to focus on employee engagement, wellness, and assistance. These include: * The B\&A Cares program: 30/60/90\-day wellness check ins, personal development, financial management, and stress management seminars, and more * A formal mentorship program * Job shadowing and cross training opportunities * Brand Ambassador program * Employee Assistance Program (EAP) \- Access to various support resources to include counseling, legal guidance, financial planning, and more * Monthly teambuilding events * B\&A Annual Wellness Challenges: \#StepWithB\&A, \#WalkDuringLunchWithB\&A, \#VolunteeringWithB\&A, \#ExerciseDuringLunchWithB\&A, and more At B\&A, we place significant importance on improving the communities and lives of citizens across the nation through our involvement, technology expertise, and employees. B\&A puts an emphasis on charitable efforts in the Northern Virginia area, including Capital Area Food Bank pantry drives, book donations, Hope for Henry Foundation events, and many more. In recognition of all these efforts, B\&A has been named a Companies as Responsive Employers (CARE) award recipient by Northern Virginia Family Services and nominated by the Northern Virginia Chamber of Commerce for Outstanding Corporate Citizenship Award. **EEO** B\&A provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. B\&A complies with applicable state and local laws governing non\-discrimination in employment in every location in which the company has facilities. This policy covers conduct occurring at B\&A’s offices, and other workplaces (including client sites) and all other locations where B\&A is providing services, and to all work\-related activities. EEO is the Law B\&A participates in e\-Verify. We provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s I\-9 Form to confirm work authorization.

Lead Data Scientist (m/w/d)

From $30/yr

**Die Coditorei – Shaping the Future of B2B E\-Commerce** Als Digital\-Enabler des Berliner Traditionsunternehmens **Obeta** treiben wir die Transformation des Großhandels voran. Unser Data\-Science\-Team ist das Gehirn hinter datengetriebenen Entscheidungen. Wir suchen einen Lead\-Data\-Scientist, der sowohl Hands\-On Projekte umsetzt als auch einen Blick für das größere Ganze hat. **Deine Mission als Lead\-Data\-Scientist:** * Eigene Hands\-On\-Projekte: Du leitest und betreust komplexe Data\-Science\-Projekte als Individual Contributor * Stakeholder\-Schnittstelle: Du übersetzt komplexe Business\-Herausforderungen in technologische Lösungen und bewertest Projekte nach Impact und Aufwand * System\-Design und Architektur: Du designst und entwickelst die vom Team verwendete Architektur für Pipelines und Services * Mentoring: Du bist Ansprechpartner für deine Kollegen bei technischen Fragen und trägst deine Expertise in das Team **Das bringst Du mit:** * Track Record: Mehrjährige Erfahrung in der Umsetzung von Data\-Science\-Projekten * Coding\-Skills: Python mit gängigen Machine\-Learning\-Bibliotheken * Business\-Verständnis: Gutes Verständnis von wirtschaftlichen Prozessen * Soft\-Skills: Starke Kommunikationsfähigkeit * Sprachniveau: Verhandlungssicheres Deutsch (C1/C2\) und fließendes Englisch Das wäre ein Bonus: * Erfahrungen in Experimentation und Decision\-Science * Erfahrung im Großhandel **Warum Die Coditorei?** * Impact: Du bist kein Rädchen im Getriebe, sondern Architekt der digitalen Transformation eines Marktführers. * Autonomie: Maximale Entscheidungsfreiheit bei der Wahl deiner Tools und Lösungswege. * Flexibilität: State\-of\-the\-art Hardware (nach Wahl), 30 Tage Urlaub sowie echte Vertrauensarbeitszeit und Home\-Office\-Optionen. * Stabilität \& Dynamik: Die Sicherheit eines etablierten Konzerns gepaart mit der Agilität eines Tech\-Hubs. **Kontakt** **Bereit, den B2B\-Handel neu zu definieren?** Wir freuen uns auf Deine Bewerbung unter Angabe Deiner Gehaltsvorstellung und Deines frühestmöglichen Eintrittstermins. Deine Personalentwicklung **Ansprechpartner:** **Die Coditorei GmbH** Herr Sebastian Kall Wilhelmsaue 33 10713 Berlin **\#supertalent \- Wir suchen Dich!**

Lead Data Scientist

From $10/yr

**Lead Data Scientist** In this role, you will leverage advanced statistical techniques, predictive modeling, and practical machine learning to address complex product and business challenges. You will collaborate cross\-functionally with Product, Engineering, and Clinical stakeholders to design analytical solutions, assess outcomes, and build scalable data\-driven systems that shape both platform capabilities and strategic direction. While the focus is on applied analytics and statistical modeling, exposure to generative AI and large language models is considered a valuable addition. This position is well\-suited for a highly analytical professional who enjoys solving meaningful, real\-world problems and translating data into actionable outcomes within a healthcare\-focused environment. **Key Responsibilities** * Lead end\-to\-end analytics initiatives that inform product development, organizational strategy, and clinical use cases * Build and refine predictive models to better understand clinician behavior, engagement trends, and how usage varies across specialties and care environments * Explore and analyze large\-scale datasets, including user activity and healthcare\-related data, to identify trends, insights, and improvement opportunities * Develop scalable data infrastructure, including pipelines, workflows, and reporting tools, to support ongoing growth and decision\-making * Collaborate closely with cross\-functional teams to transform analytical insights into product features and measurable business outcomes * Design and manage experimentation frameworks, including A/B testing, to evaluate and improve product performance * Establish and maintain best practices for data quality, reliability, and reproducibility across analytical work * Present findings and recommendations to senior stakeholders, helping guide strategy and decision\-making **Qualifications \& Experience** * Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related quantitative field (Bachelor’s required; advanced degree preferred) * Extensive experience (typically 10\+ years) in applied data science, predictive analytics, or statistical modeling, ideally within healthcare or similar data\-rich domains * Strong expertise in statistical analysis, machine learning methodologies, and predictive modeling techniques * Proficiency in Python or R and commonly used data science libraries (e.g., pandas, NumPy, scikit\-learn, statsmodels) * Advanced SQL skills with experience working on large, complex datasets * Demonstrated experience building, validating, and deploying machine learning models in production environments * Proven ability to design experiments, conduct A/B testing, and interpret results with statistical rigor * Excellent communication skills with the ability to clearly explain technical findings to both technical and non\-technical audiences * Experience with BI and data visualization tools (such as Tableau or Looker) to effectively communicate insights * Deep understanding of machine learning approaches including classification, regression, clustering, recommendation systems, and causal inference * Track record of driving data initiatives from concept through execution and influencing product direction * Familiarity with healthcare or life sciences data (e.g., provider behavior, clinical usage data, claims, or decision support systems) is strongly preferred

Lead Data Scientist

At Memorial Hermann, we pursue a common goal of delivering high quality, efficient care while creating exceptional experiences for every member of our community. When we say every member of our community, that includes our employees. We know that when our employees feel cared for, heard and valued, they are inspired to create moments that exceed expectations, while prioritizing safety, compassion, personalization and efficiency. If you want to advance your career and contribute to our vision of creating healthier communities, now and for generations to come, we want you to be a part of our team. **Job Summary** Leads the analysis of complex and unstructured data sets using advanced statistical methods for use in data driven decision making. Responsible for leading cross\-functional teams and providing in\-depth data insights for complex business problems approached with advanced analytic techniques to collect, explore, and extract insights from structured and unstructured data. Manages engagement with internal customers on small and medium sized projects. Typically reports to the Manager of Data Science. **Job Description** **MINIMUM QUALIFICATIONS** **Education:** Bachelor’s Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required. Master’s Degree in Data Science preferred. **Licenses/Certifications:** (None) **Experience / Knowledge / Skills:** * Seven (7\) years of experience in data science is required * Professional experience in hospital setting, medical informatics, healthcare information technology/finance/revenue cycle data management, or Electronic Health Record (EHR) data management is preferred * Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.), technical expertise, mathematical skills and good understanding of design and architecture principles are required * Possesses deep understanding of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real\-world advantages/drawbacks * Proficient understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications * Ability to communicate, gather requirements and execute storytelling with data * Possesses advanced level knowledge of the data science project life cycle * Proficient programming skills in addition to a working knowledge and experience of statistical analysis tools * Demonstrates proficiency in problem solving, analytical reasoning and decision\-making skills * Demonstrates proficiency in identifying and seeking needed information to perform problem/situation analysis * Advanced level of understanding and experience in researching and resolving data issues with a logical, instinctive, and problem\-solving mentality working with large, complex and incomplete sources * Exhibits strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines * Advanced understanding of SQL database management tools * Exceptional analytical skills and ability to understand and interpret results based on advanced statistical techniques * Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non\-technical audiences * Ability to work under minimal supervision in a fast\-paced multidisciplinary environment * Advanced knowledge of data science methods – time series forecasting, linear regression, A/B testing, statistical testing, Clustering, etc. * Superior customer service in the form of first\-rate work products and project management * Strong ability to manage challenging client situations * Strong ability to troubleshoot and recommend solutions * Strong ability to translate complex information for a wide range of stakeholders **Principal Accountabilities** * Leads high priority projects that impact the organization. * Leads complex issues and problems, and refers more complex issues to higher\-level staff. * Provides technical supervision/mentoring to other data scientists and trains the broader audience on data science developments. * Provides leadership, coaching, and/or mentoring to subordinate group. * Develops custom data models and algorithms to apply to data sets. * Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions. Provides findings and analysis for use in decision making. * Performs research, analysis, and modeling on organizational data. * Maintains existing models and evaluates their goodness of fit. * Provides in\-depth data insights from structured and unstructured data for complex business problems through use of advanced analytics techniques, predictive modeling, data mining/visualization and pattern analysis tools. * Develops and tests hypotheses and communicates findings in clear, precise and actionable manner to project and leadership teams. * Works closely with teams to identify, understand, and resolve data issues and improve efficiency, productivity and scalability of data processes. * Assists with the evaluation of data science vendors and tools. * Ensures safe care to patients, staff and visitors; adheres to all Memorial Hermann policies, procedures, and standards within budgetary specifications including time management, supply management, productivity and quality of service. * Promotes individual professional growth and development by meeting requirements for mandatory/continuing education and skills competency; supports department\-based goals which contribute to the success of the organization; serves as preceptor, mentor and resource to less experienced staff. * Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences. Models Memorial Hermann’s service standards by providing safe, caring, personalized and efficient experiences to patients and colleagues. * Other duties as assigned.

Lead Marketing Data Scientist

From $401/yr

About One Park Financial One Park Financial is a leading fintech company empowering small and medium\-sized businesses across the United States with fast, flexible access to working capital. Operating in a high\-growth, performance\-driven environment, we leverage data, technology, and an entrepreneurial culture to connect business owners with the funding solutions they need to thrive. Position Overview We are looking for a Lead Marketing Data Scientist to architect, streamline, and optimize the data flows that connect our marketing platforms to our core business metrics. This role sits at the intersection of marketing, data engineering, and growth strategy, and is responsible for building the analytical foundation that drives smarter media investment decisions across the organization. The Lead Marketing Data Scientist will own end\-to\-end Marketing Mix Modeling (MMM), incrementality testing, geo\-lift experimentation, and scenario analysis frameworks. The insights produced will directly influence how One Park Financial allocates millions in marketing spend, with the ultimate goal of driving and surpassing revenue, funding volume, and customer acquisition targets. This is a high\-impact, high\-visibility role for a senior practitioner who thrives in fast\-paced, data\-rich environments and is energized by translating impression\- and click\-level signals into business outcomes. Key Responsibilities Data Architecture \& Integration Design, streamline, and integrate data pipelines between marketing platforms (Google Ads, Meta, TikTok, LinkedIn, programmatic DSPs, affiliate networks, CRM, call tracking) and the business data warehouse. Build and maintain a unified marketing data layer that connects impressions, clicks, and engagement signals to downstream conversion, funding, and revenue events. Partner with Data Engineering to define schemas, ingestion patterns, and data quality standards that ensure trusted, decision\-grade marketing data. Continuously identify and eliminate gaps, latency, and inconsistencies between platform\-reported metrics and business outcomes. Marketing Mix Modeling \& Scenario Analysis* Develop, productionize, and own the company’s Marketing Mix Modeling (MMM) framework across paid, owned, and earned channels. * Run scenario analyses and budget optimization simulations to recommend optimal media mix under varying spend, seasonality, and macroeconomic conditions. * Quantify diminishing returns, saturation curves, carryover effects, and channel interactions to inform short\- and long\-term planning. * Translate model outputs into clear, actionable recommendations for marketing leadership and the executive team. Incrementality, Geo\-Lift \& Experimentation* Design and execute geo\-lift studies, holdout tests, and matched\-market experiments to measure true incremental impact by channel and campaign. * Establish a rigorous experimentation roadmap and testing cadence across the media portfolio, including paid social, paid search, display, CTV, audio, and direct mail. * Reconcile platform\-attributed performance with incrementality results, and educate stakeholders on the difference between correlation and causal impact. Performance Insights \& Business Impact* Correlate impression\- and click\-level signals with funded loans, revenue, LTV, and other core business KPIs. * Build self\-serve dashboards and analytical products that help the marketing organization make confident, data\-driven media mix decisions. * Surface growth opportunities, efficiency gains, and underperforming investments through proactive analysis and storytelling. * Set and track measurement standards, attribution conventions, and success metrics across the marketing organization. Leadership \& Cross\-Functional Partnership* Serve as the technical and analytical thought leader for marketing measurement across the company. * Partner closely with Performance Marketing, Brand, Finance, Product, and Data Engineering teams to align measurement with business strategy. * Mentor analysts and junior data scientists, and help shape the long\-term marketing analytics roadmap and team structure. * Communicate complex statistical concepts and trade\-offs clearly to non\-technical executives and channel owners. **Requirements** * 7\+ years of experience in data science, marketing analytics, or quantitative marketing, with at least 3 years focused on performance marketing measurement. * Experience working with AWS in Cloud data platform. * AI/ML based LTV prediction experience to build predictive models that help achieve business outcomes. * Proven track record of building and deploying Marketing Mix Models (MMM): Bayesian (e.g., Robyn, Meridian, LightweightMMM, PyMC) or frequentist in production environments. * Hands\-on experience designing and analyzing incrementality tests, geo\-lift studies, and causal inference experiments (synthetic control, difference\-in\-differences, uplift modeling). * Strong programming skills in Python (pandas, NumPy, scikit\-learn, statsmodels, PyMC / Stan) and SQL; comfortable working with large\-scale datasets. * Deep, hands\-on experience with at least one major cloud data platform (Snowflake, BigQuery, Databricks, Redshift) and modern data stack tooling (dbt, Airflow, Fivetran, or equivalent). * Strong working knowledge of digital media and performance platforms including Google Ads, Meta Ads, programmatic DSPs, affiliate platforms, call tracking, and attribution tools. * Experience operating in a SaaS, fintech, financial services, or other fast\-paced, high\-growth, performance\-driven environment. * Excellent communication and storytelling skills with the ability to influence senior stakeholders and translate analytics into business action. * Bachelor’s degree in a quantitative discipline (Statistics, Economics, Mathematics, Computer Science, Engineering, or related field). * Preferred Qualifications* Master’s or Ph.D. in Statistics, Econometrics, Data Science, or related quantitative field. * Experience in financial services, lending, small business finance, or other regulated industries. * Familiarity with privacy\-aware measurement approaches (data clean rooms, conversion APIs, server\-side tracking, MMM in a post\-cookie world). * Experience integrating LTV, retention, and unit\-economics models into marketing measurement frameworks. * Exposure to visualization tools such as Looker, Tableau, Power BI, or Streamlit for analytical product delivery. * Prior experience leading or mentoring a team of analysts or data scientists. **Benefits** What We Offer* Competitive base salary plus performance\-based bonus. * Comprehensive health, dental, and vision insurance. * 401(k) plan with company match. * Hybrid / flexible work environment. * High\-visibility role with direct impact on company strategy and growth. * Collaborative, entrepreneurial culture with significant opportunity for career advancement. Equal Opportunity One Park Financial is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Lead Data Scientist

From $105/yr

***Work sponsorship is not available for this position.*** ***Job Title:* Data Scientist Senior (Quantitative Analytics Lead)** ***Locations: Onsite in Mclean, VA (5 days a week)*** ***Interview Type: In\-Person*** ***Job Overview:*** ***Must Have Qualifications: E* xperience with modelling\- with at least 3\-5 years of experience model testing and model development. Candidate must have a quantitative degree\- master’s degree required but Doctorate is preferred** **Position Overview:** We are currently seeking a Quantitative Analytics Senior to be responsible for the development and execution of statistical models and applications in support of business and risk decisions as a member of the House Price Index Modeling Team. This role is critical to advancing client’s mission of Making Home Possible by developing robust and interpretable models for tracking house price appreciation. **Your Impact:** • As a Data Scientist, you will join a group of skilled professionals who use data science to solve important business problems. • Developing analytical methods and models about the collateral underlying the mortgages in client's portfolio. Conducting research on enhancements to the existing models, and applying industry standard processes and techniques to meet various business needs. • Providing innovative, detailed and practical solutions to an extensive range of demanding and complicated problems. • Implementing statistical models in efficient software languages, coding model prototypes for specification and test cases, modifying source codes in the existing application. • Coordinating the testing through the model implementation, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate the model forecast results. • Providing modeling and analytical support to a line of business or product area, functioning as day\-to\-day technical specialist. • Preparing documentation for the technical analytics and rationale through the model development to comply with model oversight and support model review for approval. • Working under limited direction, independently resolving and developing approach to solutions. **Qualifications:** • Doctorate degree, or Master degree with 3 years of equivalent work experience, in quantitative finance, statistics, economics or a related quantitative field • Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, or computer programming to large data sets. Qualifying coursework may include—but is not limited to—statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, or Monte Carlo methods • Coursework or work experience writing statistical or optimization programs to develop models and algorithms. Programming languages may include—but are not limited to—SAS, Python, R, SQL, and MATLAB • Experience working with large data sets and relational database • Experience in statistical model development and implementation is preferred • Experience with software development and system setup for model application is preferred ***Benefits*** *: We offer a benefits package including medical, dental, vision, and 401(k).* ***Compensation:*** *$105\.00 – $115\.00 per hour. This is the targeted compensation range for this role per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.* *We are an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law.*

Senior / Lead Data Scientist – Applied Statistics & Machine Learning – €100,000+

From $100,000/yr

**Senior / Lead Data Scientist – Applied Statistics \& Machine Learning – €100,000\+** A growing AI engineering consultancy in Frankfurt is hiring a Senior / Lead Data Scientist to help solve complex real\-world problems across healthcare, insurance, finance, energy and manufacturing. The most successful people in this team are naturally sceptical. They question the data before the model. They care about statistical rigour. They understand that a surprisingly good result is often the first thing that deserves investigating. You’ll work directly with customers, taking projects from problem definition through to deployment and stakeholder presentation. The work is varied, technically challenging, and focused on delivering outcomes that stand up in production. **Why this role stands out** * Work on genuinely varied projects across multiple industries * High level of ownership and customer exposure * Strong engineering culture focused on quality over hype * Opportunity to grow into a Lead Data Scientist position **What you’ll work on** * Predictive analytics and machine learning projects across multiple industries * Statistical analysis of messy, incomplete and real\-world datasets * Time series, tabular, text and occasionally image\-based data problems * Customer\-facing consulting and technical delivery * End\-to\-end project ownership from discovery through to deployment **What they’re looking for** * Several years of commercial Data Science or Machine Learning experience * Strong statistical foundations and a genuine understanding of uncertainty, hypothesis testing and model evaluation * Excellent Python skills and experience with modern ML frameworks If you’re the type of Data Scientist who wants to understand the problem before reaching for the algorithm, we’d love to speak with you. *Data Science \| Machine Learning \| Statistics \| Python \| AWS \| Time Series \| Predictive Analytics \| Applied AI \| Consulting \| Healthcare \| Insurance \| Finance \| Frankfurt \| Hybrid*

Lead Data Scientist

$170,000 - $218,500/yr

At we make it deliciously simple to eat well and feel good every day. We are guided by a Mediterranean heritage that’s been perfecting how to eat and live for four thousand years. We prioritize authenticity, curiosity, and the pursuit of excellence in everything we do. We are working towards something *big*, together. **We foster a culture built on five core values:** * **Generosity First, :** We lead with kindness. Our best work happens when we act in of others. * **Constant Curiosity:** We are eager to learn, grow, and explore beyond the obvious. * **Act with Agility:** We welcome change; it’s the only constant. We embrace, adjust, and adapt. * **Passion for Positivity:** We greet each day with warmth and possibility. * **Collective Ambition:** We have high aspirations that are achieved when we work together with a shared purpose. CAVA is looking for a lead data scientist that will help us discover the information hidden in vast amounts of data, help us make smarter decisions, improve productivity and deliver even better guest experiences. To help CAVA establish scalable AI/ML practices and utilization, your focus will be in applying data mining techniques, performing statistical modeling and analysis, machine learning, and building high quality prediction systems integrated with our platforms and applications. The ideal candidate will have a strong background in analytics, with expertise in leveraging Databricks and open source tools to drive actionable insights, optimize operations, and enhance customer experiences. **What You’ll Do:** * Develop and implement machine learning models and algorithms to support business objectives, including predictive analytics, demand forecasting, and other business tools leveraging data and AI. * Perform data mining and statistical analysis to extract meaningful insights from large, complex datasets, including potential third\-party data sets. * Enhance data collection and processing workflows to ensure data accuracy, relevance, and integrity. * Collaborate with cross\-functional teams across marketing, operations, and IT to create, validate, and integrate AI/ML solutions into existing platforms and applications. * Create, maintain, monitor models for business uses including, but not limited to labor models, price optimization, menu evaluation, customer segmentation, next\-best\-action marketing, real estate assessment, etc. * Create automated systems for anomaly detection, performance tracking, and reporting. * Leverage advanced analytics and large language models (LLMs) to provide actionable insights and summarize key business trends. * Design and execute A/B tests and other experiments to validate hypotheses and optimize strategies. * Document model development processes, performance metrics, and findings to ensure transparency and reproducibility. * Processing, cleansing, and verifying the integrity of data used for analysis * Performing ad\-hoc analysis and presenting results in a clear manner * Utilize Analytical AI algorithms (e.g., linear regression, decision trees, boosted trees models) to automatically gather insights that will be presented in the commercial reporting solution of the company. * Leverage anomaly detection algorithms (e.g., isolation forest) to identify anomalies within the data and generate alerts for the commercial reporting team. * Oversee the extraction, preparation, and utilization of large datasets required for model training, validation, and implementation, ensuring data quality and relevance. * Maintain comprehensive documentation of AI models and GenAI solutions, their logic, and performance metrics. **The Qualifications:** * Ability to demonstrate technical expertise with regards to building advance models in support of business functions * Bachelor’s Degree in in Data Science, Computer Science, Statistics, Engineering, or related field (or equivalent experience) * Minimum of 5 years of experience building, designing, and maintaining data science and/or AI projects * Demonstrated expertise in applying advanced statistical and machine learning techniques to real\-world problems, such as predictive modeling, natural language processing, computer vision, or recommender systems at scale (preferably in the restaurant vertical) * Demonstrated experiences in relevant fields or industries in Information Retrieval, Machine Learning, NLP, and Query understanding * Experience implementing Machine Learning models and algorithms into production at scale with machine learning algorithms such as classifiers, anomaly detection, and clustering * Demonstrated expertise in managing the entire AI/ML lifecycle, from ideation, data acquisition and model training, to production deployment and monitoring, including developing scalable AI/ML CI/CD solutions. Ability to manage AI/ML projects including success metrics and use of project management tools (e.g. JIRA) * Proficient in using various programming languages and tools for data analysis and machine learning, such as Databricks MLflow (Python, SQL, TensorFlow, PyTorch, or Spark) * Great communication skills, excelling in breaking down intricate AI/ML concepts for a diverse audience. Communicate technical concepts and results effectively to diverse stakeholders, including senior leadership. * Excellent interpersonal and communication skills that can partner with cross\-functional teams **Physical Requirements:** * Ability to maintain stationary position to be able to operate a computer and other office equipment * Must be able to identify, analyze and assess details * For certain positions, must be able to occasionally move or transport items up to 50 pounds * Ability to communicate with others and exchange information accurately and effectively * Constantly positions self and move about to support ordinary restaurant or food production support or office operations, as applicable * Ability to work in a constant state of alertness and in a safe manner **What we offer:** * Competitive salary, plus bonus and long\-term incentives\* * Early Wage Access! * Unlimited PTO, paid parental leave, plus paid opportunities to give back to the community * Health, Dental, Vision, Telemedicine, Pet Insurance plus more! * 401k enrollment with CAVA contribution * Company\-paid STD, LTD, Life and AD\&D coverage for salaried positions\* * Free CAVA food * Casual work environment * The opportunity to be on the ground floor of a rapidly growing brand * All exempt and non\-exempt employees are eligible for benefits. Benefits are effective on the 1st of the month following 30 days of service, and you have until the day before the effective date to enroll. A new hire can enroll in our benefit program by selecting a link that is emailed directly to the new hire at their personal email address once hired * The compensation range posted includes total cash * *Indicates qualifying eligible positions only* **CAVA – Joining “A culture, not a concept”** This job description is not intended to be a comprehensive list of all the duties and responsibilities of the position, and such duties and responsibilities may change without notice. As an equal opportunity employer, CAVA considers applicants for all positions without regard to race, color, sex, religion, national origin, disability, age, height, weight, marital status, sexual orientation, familial status, genetic information or any other characteristic or protected classes as defined by federal, state, or local law. INDHEADOFFICE

Blockchain Data Wizard, Analyst or Scientist

From $140/yr

The 4 biggest blockchain strengths are also its weakness Permissionless nature leads to fragmentation of meaning Decentralization leads to too many standards Immutability leads to exponential data + query infrastructure complexity Neutrality means that no one is accountable for interpretations Blockchain data is public. It is not usable at institutional scale. Despite being open, blockchain data is fragmented, hard to interpret, and painful to maintain. Even a simple question like “Who are the largest Ethereum token holders over time?” can require running nodes, ingesting full chain history, decoding contracts, cleaning edge cases, and writing complex SQL. Blockchains are optimized for writes, not reads. They are built for consensus and execution, not searchability, standardization, or financial interpretation. Blockchains are computers, not databases . Every protocol defines its own schema. The same economic action can be encoded in dozens of different ways. The result: Fragmented standards Exponential complexity No accountability for interpretation Events without economic meaning Finance cannot operate on that, it needs an effective system of record . Allium is building the System of Record for Onchain Finance Allium ingests, verifies, and standardizes data across 140+ blockchains and 30+ petabytes of history. We close four structural gaps that prevent blockchains from becoming systems of record: Semantic Gap: Translating raw events into financial concepts like payments, trades, deposits, and staking income Standardization Gap: Mapping thousands of protocols into a single canonical cross chain schema Infrastructure Gap: Read optimized, globally distributed data at web scale Accountability Gap: Auditable methodology, SLAs, and SOC 1 and 2 compliance The result is a neutral, canonical data layer institutions can build on with confidence. Finance is moving onchain Stablecoins, tokenized assets, trading, staking, and lending are growing rapidly. Institutions need a trusted source of truth for onchain financial activity, just as they rely on Bloomberg or DTCC in traditional markets. Raw blockchains cannot serve that role. As AI agents begin transacting autonomously , the requirement becomes even stricter. Agents cannot reason over raw event logs. They need structured data, attribution, condition checks, and auditability. Allium is the read layer that makes onchain finance usable for humans and machines. Who We Serve Allium powers three core personas with the same canonical data foundation: 1. Finance, Accounting, and Risk Teams They need reliable, audit grade answers. They rely on Allium for financial reporting, reconciliation, compliance, risk monitoring, and defensible metrics that can stand up to auditors and regulators. 2. Engineers and Product Teams They need low latency, production ready infrastructure. They use Allium to power wallets, trading systems, payment rails, staking infrastructure, and real time applications that cannot break. 3. Strategy, Research, and Executive Teams They need clarity and insight. They use Allium to understand ecosystem economics, market structure, user behavior, competitive dynamics, and where capital is flowing onchain. and of course.. agents 🦞. Our customers and users include Visa, Stripe, G-SIB Banks, Big 4 Accounting firms, BCG, Coinbase, Phantom, Uniswap and cited by the Federal Reserve. About the role At Allium, Blockchain Data Wizards are the data architects who transform raw, fragmented on-chain data into elegant, meaningful abstractions that power the world's largest crypto applications. You'll be equal parts detective, data engineer, and protocol researcher—diving deep into blockchain internals, reverse engineering DeFi protocols, and crafting data models that institutions and developers rely on. What you will do Creating Meaningful Data Abstractions Transform messy on-chain data into unified, intuitive data models (e.g dex.trades , lending.liquidations ) that work across verticals and protocols, providing users with granular, reliable insights. Reverse Engineer DeFi Protocol Mechanics Dive deep into the mechanics of new DeFi protocols, dissect smart contract interactions and on-chain events, extract the data that matters, and transform it into clean, production-ready models using SQL/dbt. Indexing New Blockchains Dive into a blockchain’s raw data structures, ensure complete and accurate data capture, and design schemas that translate native blockchain data into reliable internal models, becoming the trusted source of truth for that ecosystem. Building Metrics & Filtering Noise Design and create metrics people can actually use - volumes, fees, TVL, and user activity, and filter out noise like wash trades, bots, and Sybil attacks. Make it easy for the industry to see what’s real and what matters. Qualities Sherlock & Enola Holmes-Level Curiosity You find peculiarities in data that others miss. You question assumptions, dig deeper when something looks off, and help the industry redefine narratives with evidence-based insights. Product-Minded Data Design You don't just build tables—you design data products. You think about query patterns, performance, documentation, and how end users will interact with your models. Comfortable with Ambiguity New blockchains and protocols have sparse documentation. You thrive when you need to figure things out yourself through exploration and experimentation. SQL/dbt Mastery You can write elegant, performant SQL transformations that process large volumes of data. You understand incremental models, macros, and how to build maintainable data pipelines at scale. Allium's Data Wizards in Action Co-developing methodology to identify organic and meaningful stablecoin activity, powering Visa's Stablecoin Dashboard Reconstructing Bitcoin Ordinals data to power research work Sybil Detection for Wormhole's Token Launch Powering Brevan Howard Digital's stablecoin industry reports Design chain level metrics (Fees, Activity..) for all chains Don't take our word for it, what our customers say about us ( https://www.allium.so/blog#love) What some ~cool people have to say about us: The Information's Top 50 Startups ( https://www.allium.so/post/allium-named-to-the-informations-50-most-promising-startups-of-2025 ) Mario Gabriele from The Generalist's Future 50 Startup List: https://www.allium.so/post/allium-named-awardee-of-the-generalists-inaugural-future-50-startups Tomasz Tungus from Theory Ventures: https://tomtunguz.com/allium/ Bucky Moore from Kleiner Perkins: https://www.kleinerperkins.com/perspectives/allium-series-a/ Ok.. now for some tough love, here are the values we strive for at Allium: Obsessiveness - The best people at Allium cannot put a problem down once they pick it up. We care more about the work than is strictly rational. Institutions trust us because our data is right. Right means caring about the small things. The decoded contract that ships with one wrong field. The label that is 99% accurate but wrong on the address that matters. The query that runs in 4 seconds when it should run in 400 milliseconds. Most companies tolerate these. We do not. Obsessiveness shows up as depth of care. It is not measured in hours worked or visible effort. You should feel something physical when work ships half-right. That instinct is what we hire for. Pro Athlete Mindset - Consistency. Day in and day out, in pursuit of excellence. A win yesterday does not guarantee (or even imply!) a win tomorrow. I hope anyone who supports a failing sports team will feel the pain ( cough Man United fan s) of inconsistency Figure It Out & Extreme Ownership - Every day is unexplored territory. There are new engineering frameworks, new legal docs, new compliance, new sales, new regulations, and new operational procedures every single day. If you don’t know it, learn it. If you can’t learn it, find someone or a product that does it. If you can’t find someone, find someone who can find someone. It is never lack of resources, but lack of resourcefulness. High Agency - (One of) the highest commonality between all successful people is their responsiveness, most successful billionaire CEOs still reply to emails within minutes (within working hours). And when you reply, respond fast with effective solutions - and even better, resolutions. If you’re looking for a superpower, you can’t go wrong with responsiveness. Well of course this doesn't make sense when you're an engineer coding in flow, but in general high agency of problem solving gets one very far in life Leading from the Front - No one is going to listen (and adopt) your suggestion unless you lead by example. It’s one thing to say We need to do XYZ this better & it’s another thing to build an MVP and say “This is the way we should do things”. The proof of work and momentum goes a long way. Strong Opinions On the Future (loosely held) It is okay to be wrong, but what is not okay is not to have an idea of how a better future should be. Alliumites take pride in trying to improving everything about the company all the time. Sense of (allium) business smell - There are number of folks who live to eat at Allium, but the Allium smell we are talking about is that we love folks who naturally want to know why and how the work they are doing builds leverage for their teammates and also relates to the business goals About the team We invite people of all backgrounds ( https://www.allium.so/about ). We have engineers who learnt coding much later in life, who learnt coding on the side, we have engineers who are still in school and we also have engineers who went to the top schools (CMU, Stanford, UIUC, UPenn, Oxford, NUS, Cornell), all are welcome if one comes in with a curious mind and an infectious work ethic. Administrative Benefits Medical, Dental, Vision, Life and AD&D insurance - US folks get 100% coverage for Gold plans, 80% for dependents Ownership - Meaningful early-stage equity. Every full-time employee receives a stock option grant so you can share directly in Allium's upside Time off - Flexible, trust-based paid time off. We encourage people to take the rest they need. In every country we hire, our policies meet or exceed local statutory vacation requirements Retirement - Company sponsored 401(k) plan in US so you can save pre-tax for the long term Note: The sun never sets on Allium - we hire from any geographical location as long as you are willing to overlap 2 hours overlap on NYC mornings Mon-Thurs from 10am-12pm ET. We have people based in New York, Seattle, Singapore and Australia All applicants have to answer this pop quiz: " What is an Allium? What is your favorite Allium? ". Bonus points for the right pronunciation.

Blockchain Data Wizard, Analyst or Scientist

Senior Data Scientist

$156,000 - $166,400/yr

Senior Health Data Scientist (Real-World Data)

$113,000 - $150,000/yr

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data\-driven solutions. And the momentum is building. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare's greatest needs. Through our mission\-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve. **Overview:** The Senior Health Data Scientist will lead and serve as subject matter expert to highly complex data extracts, programming, and analytical modeling capabilities in support of the team's services to internal and external clients. The Senior position provides guidance and support as needed to junior staff. The team consists of staff with specialized experience, such as statisticians, researchers, health economists, clinicians, and project managers, who conceptualize, execute, and deliver qualitative, analytical, and strategy\-based work products for clients. We also work closely with other product teams and business units, applying the full scope of the company's knowledge base to the development of multi\-disciplinary, creative solutions on behalf of our clients. **Business Unit**: Insights \- Health Data Science Team This team is the data subject matter expert within the Insights business unit. Their role is to support teams across the organization to bridge the gap between product and engineering. Assist with translating the high\-level product vision from the product lead by: 1\) Writing detailed logic/algorithm requirements 2\) Building prototypes 3\) Best practices consulting, and 4\) User acceptance testing. This also involves data profiling, data investigation, root\-cause analyses, etc. **Duties and Responsibilities:** * Serve as lead when working collaboratively with product leads, managers, and owners to draw insight and intelligence from large administrative claims datasets, electronic medical records, and various healthcare registry datasets; * Identify and develop solutions that can be implemented to key strategic business problems using high\-level modeling and statistical analyses techniques; * Utilize SQL to perform advanced\-level data extraction, transformation and data management; fully document and manage library of source code and algorithms for future use; * Identify, develop, and test hypotheses in support of research and product offerings, and communicate findings in a clear, precise, and actionable manner to our clients; * Respond to and lead highly complex operational data requests and create ad\-hoc queries to support research projects; * Serve as lead when working closely with Inovalon's Enterprise Data Platform teams to identify, understand, and resolve data issues and improve the efficiency, productivity, and scalability of the company's data processes; * Troubleshoot complex production\-related issues and coordinate successful resolution; * Assist with the evaluation of data analytic vendors and tools; * Maintain compliance with Inovalon's policies, procedures and mission statement; * Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon's Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; * Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company; * Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function; and * We reserve the right to change this job description from time to time as business needs dictate and will provide notice of such. **Job Requirements:** * 5 \+ years of professional experience in healthcare or pharmaceutical industries working with administrative claims data and electronic medical records; * Strong SQL programming skills in addition to working knowledge and experience using statistical analysis tools such as SAS, R, and Python; * Demonstrated problem solving, analytical reasoning, and decision\-making skills; * Strong understanding and experience in researching and resolving data issues with a logical, instinctive, and problem\-solving mentality working with large, complex, and incomplete sources; * Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.) and good understanding of design and architecture principles; * Exhibit strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines; * Excellent analytical skills and ability to understand and interpret results based on advanced statistical techniques; * Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non\-technical audiences; * Ability to work under minimal supervision in a fast\-paced multidisciplinary environment; * Advanced knowledge of health care, health policy, pharmaceutical, medical device, and related issues; * Superior customer service in the form of first\-rate work product and project management; * Strong ability to manage challenging client situations; * Strong ability to troubleshoot and recommend solutions; and * Strong ability to translate complex information for a wide range of clients. **Education:** * Master's degree in computer science, data science, applied mathematics, econometrics, statistics, engineering, physics, or related discipline; or equivalent combination of education and experience **Physical Demands and Work Environment:** * Sedentary work (i.e. sitting for long periods of time); * Exerting up to 10 pounds of force occasionally and/or negligible amount of force; * Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions; * Subject to inside environmental conditions; and * Travel for this position will include less than 5% locally usually for training purposes. *This position is not eligible for immigration sponsorship (e.g. H\-1B, TN, or E\-3\). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US\-based positions)* *If you don't meet every qualification listed but are excited about our mission and the work described, we encourage you to apply**. Inovalon is most interested in finding the best candidate for the job**,* *and you may be just the right person for this or other roles.* *By embracing* *inclusion**,* *we enhance our work environment and drive business success. Inovalon strives to* *provide equal opportunit**ies* *to* *the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.* *Inovalon is proud to be an equal opportunity workplace**. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or* *v**eteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.* *To review the legal requirements, including all labor law posters, please visit this* *link* *To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this* *link*

Staff Data Scientist - Healthcare (f/m/d)

From $90,000/yr

#### **We see the potential inside everything and everyone. Starting with you.** Orbem uses AI to industrialize MRI, delivering non\-invasive insight into everything from fruits to eggs to the human body. We are transforming what is becoming the world’s largest biological dataset into actionable intelligence to reduce waste, increase quality, and accelerate the shift toward a more sustainable and healthier future. Headquartered and founded in Munich, Germany, with an office now in Houston, Texas, our world\-class team is scaling inside\-out technology to transform how humanity sees and understands biological matter. Help us see what’s possible. Join us. **Staff Data Scientist \- Healthcare** **(f/m/d)** ================================================== **Start Date:** As soon as possible **Yearly Salary:** €90,000 \- €100,000 (fixed range, annual gross) **Stock Options:** €40,000\- €80,000 **Benefits:** Up to €5,000 annually **Work Model:** Full\-Time, Hybrid (Munich, Germany) ### **Your Role** **As a Staff Data Scientist, you will play a key role in designing and implementing the next generation of AI\-powered imaging applications in healthcare.** You will work closely with MRI scientists, business, and product to translate Orbem’s insights from the industrial MRI product to the unique requirements of the healthcare space. Your scientific mindset and strong expertise in data and modeling help us build a healthier future. ### **Your Day\-to\-Day** On a typical day, you would: * **Lead** the design and implementation of ML solutions for healthcare (in particular deep learning) * **Explore various datasets and biomarkers to find data insights for the healthcare domain** * **Translate** knowledge and methods from Orbem’s industrial food applications to the healthcare context. * **Validate** reliability, fairness, and interpretability of our ML solutions * **Collaborate** with MRI scientists, product and business experts to ensure feasibility, desirability and viability of new products * **Grow** the know\-how in ML methods for the healthcare domain ### **Fit to our values** * **We Own Every Challenge:** We accept challenges as opportunities for growth and approach them with determination. * We **Strive for Better:** We learn, adapt, and push for higher standards. * We **Imagine New Frontiers:** We challenge the status quo with curiosity and creativity. We design a sustainable and healthy future together. ### **Your experiences and skills** #### **Data Science in medical imaging** * You have significant experience in **ML model development** for medical imaging. * You are well versed in methods for **model interpretability and uncertainty esti**mation. #### **ML engineering** * You have deep knowledge of **Pytorch** and distributed training. * You have strong **Python** coding skills, you are an advocate and expert in best practices and design patterns. * You have experience with **version control tools** and tools for creating reproducible, containerized environments. * You are experienced in **ML system design, in particular deep learning and computer vision.** #### **Leadership and business acumen** * Proven **technical leadership on cross\-functional initiatives**, successfully guiding data science development with dependencies to various disciplines. * Strategic influence in shaping the long\-term technical roadmap for a product or application, **navigating uncertainty** and ensuring data science decisions align with business goals. * High technical judgment and a pragmatic approach to decision\-making, with a demonstrated ability to **balance deep technical work with product deadlines.** #### **What makes you stand out from other candidates** * Publications in relevant conferences for AI/ML in medical imaging. * Experience bringing AI\-enabled imaging methods into products. * Experience navigating clinical regulatory frameworks in the EU and US. * Experience with ML data privacy and security challenges and techniques (e.g. federated learning) ### **What We Offer** **International Environment:** Join a team with 40\+ nationalities across 5 continents, all driven by a shared purpose: shedding light on the world’s toughest challenges. **Attractive Compensation Package:** * **Stock Options:** Share in Orbem’s success. * **Visa \& Relocation Support:** Seamless support for your move to Germany. * **Learning \& Development:** €1,750 annual budget for personal growth. * **Fitness Membership:** Access to Urban Sports Club or Wellpass. * **Childcare Reimbursement:** Support for Kita/Kindergarten fees. * **Deutschland Ticket:** Full coverage of public transportation. **Work\-Life Integration:** * **Flexible Hours \& Home Office:** Work when and where it suits you. * **WFH Perks:** Get €185 to upgrade your home office \+ a sleek external monitor on us! * **30 Days Paid Leave:** Plenty of time to recharge. * **Personal Leave:** Flexibility for life’s important moments. * **Work from Anywhere:** Experience new cultures and environments for up to 60 days per year. ### **Make a Difference:** Join an ambitious, fast\-growing team working on breakthrough technology. In our scale\-up environment, you’ll have the freedom to lead your projects and make an impact. We provide a platform for you to explore, innovate, and define your vision for the future. At Orbem, we’re committed to helping you discover your strengths, and while we aim to teach you, we also want to learn from you. ### **Your Team:** As an Staff Data Scientist, you become part of our diverse and international team. Learn more about the team members, their work, and challenges here: https://orbem.ai/company/ *At Orbem, we're committed to building a smart, diverse team, and we recognize that self\-doubt can prevent talented individuals from applying. If you feel you don't meet every requirement, we'd love to hear from you anyway!*

Health Data Science Junior Research Scientist

$47,500 - $65,000/yr

New York University: NYU \- NY: School of Global Public Health ### **Location** New York, NY ### **Open Date** Feb 02, 2026 ### **Description** **Position Title:** Health Data Science Junior Research Scientist **School:** NYU's School of Global Public Health \| Biostatistics **Supervisor:** Dr. Rumi Chunara (Principal Investigator) **Schedule:** Full\-Time **Employment Dates:** March 2, 2026 \- August 28, 2027 **About the Center for Health Data Science (CHDS)** The Center for Health Data Science (CHDS) at NYU is a hub for transdisciplinary research with a global outlook, focused on data\-driven analyses for public health. CHDS leverages cutting\-edge machine learning and artificial intelligence to drive impactful research while ensuring models perform robustly across population groups. The Center is a leader in holistic data science and machine learning, emphasizing best practices in machine learning and AI while also collaborating extensively with private and public partners to translate research into real\-world applications. CHDS values pluralistic knowledge discovery and action, working across disciplines and with practitioners to address community needs. **Position Summary** The Junior Research Scientist will support CHDS’s research initiatives by applying data science techniques to health\-related challenges. This role will also involve collaborating with NYU Langone Health and the Institute for Excellence in Health Equity on interdisciplinary quality improvement and research projects. The ideal candidate will have a strong foundation in data analysis, problem\-solving, and an eagerness to learn. They should have experience in leveraging data science for public health and an interest in exploring topics such as healthcare and social determinants, collaborative public health interventions, and policy implications. This role is ideal for early\-career researchers seeking to expand their experience and contribute to meaningful projects in health data science. This position is offered for a duration of up to two years, with performance evaluations conducted at designated midpoints throughout the contract period. **Key Responsibilities** * Conduct data\-driven research in health data science, applying machine learning and analytical techniques to public health challenges. * Collaborate with supervisors on research projects related to health policy, healthcare, and disease prevention. * Data management, organization, and documentation to support research efforts. * Assist in designing and implementing data analysis strategies for health\-related programs and initiatives. * Contribute to research dissemination through reports, web posts, manuscript drafts, and conference presentations. * Perform other duties as needed to support CHDS initiatives. **Additional Position\-Specific Responsibilities** * Proficiency in data analysis tools and programming languages, with experience in machine and deep learning workflows and handling large, complex health datasets. * Strong skills in developing analysis and evaluation strategies and effectively applying them in research projects. * Experience in data visualization and the ability to communicate technical findings to diverse audiences. * Excellent written and verbal communication skills, with the ability to engage both technical and non\-technical stakeholders. * Ability to exercise independent judgment, critical thinking, and discretion in problem\-solving and decision\-making. * Familiarity with statistical analysis tools and frameworks for health data analysis. * Strong organizational and project management skills, with the ability to manage multiple priorities and meet deadlines. * A collaborative mindset with strong problem\-solving and customer service skills to engage effectively with teams and stakeholders. ### **Qualifications** * Bachelor's or Master's degree in a related field (e.g., data science, computer science, biostatistics) with at least 2 years of relevant research or data analysis experience. * Demonstrated experience with data analysis in applied health research or professional settings beyond coursework. * Experience working with and communicating to stakeholders. * Detail oriented, a strong analytic proclivity, proactive attitude, growth mindset, high quality organizational and teamwork skills. **Preferred Qualifications** * Experience contributing to health research projects or evaluations, with involvement in publications, presentations, or technical reports. * 1–3 years of experience in health research or evaluation roles with progressively responsible contributions. ### **Application Instructions** Please apply via Interfolio application. In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $47,500\-$65,000\. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer. ### **Application Process** This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

Healthcare Data Scientist

If you are looking to make an impact on a meaningful scale, come join us as we **embrace the Power of One!** We strive to be an employer of choice and establish a reputation for being a talent rich organization where Associates can grow their career caring for others. For over a century, we’ve served the health care needs of the people of Memphis and the Mid\-South. From a staff position and under limited supervision, the Healthcare Information Data Scientist functions as a member of various multi\-disciplanary teams producing innovative solutions driven by exploratory data analysis from complex and high\-dimensional databases. The incumbent uses a flexible, analytical approach to design, configure, develop, enhances, test and evaluate predictive models and advanced algorithims that lead to optimal value extraction from the data. Effectively communicates information in a way that is easy to understand for the intendeded audience, both technical and non\-technical. Other responsibilities include documentation, training other analysts and super users, and coordination of hardware installation and support. Takes initiative and exercises sound judgment to resolve urgent problems. Acts when necessary to resolve emergencies. Models appropriate behavior as exemplified in MLH Mission, Vision and Values. Working at MLH means carrying the mission forward of caring for our community and impacting the lives of patients in every way through compassion, a deliberate focus on service expectations and a consistent thriving for excellence. **A Brief Overview** From a staff position and under limited supervision, the Healthcare Information Data Scientist functions as a member of various multi\-disciplanary teams producing innovative solutions driven by exploratory data analysis from complex and high\-dimensional databases. The incumbent uses a flexible, analytical approach to design, configure, develop, enhances, test and evaluate predictive models and advanced algorithims that lead to optimal value extraction from the data. Effectively communicates information in a way that is easy to understand for the intendeded audience, both technical and non\-technical. Other responsibilities include documentation, training other analysts and super users, and coordination of hardware installation and support. Takes initiative and exercises sound judgment to resolve urgent problems. Acts when necessary to resolve emergencies. Models appropriate behavior as exemplified in MLH Mission, Vision and Values. **What you will do*** Analyzes problems and develops solutions involving computer software programs and applications by designing programs or queries to retrieve complex data from databases in one or more programming languages. * Applies theoretical expertise and innovation to create or apply new technology. * Supports EHR and other clinical or business information system database application build and maintenance. * Supports EHR and other clinical or business information system application configuration such as building worklists, Boolean rules, populating masterfiles, CDM, adapting vendor model clinical documentation tools to meet MLH needs, etc. * Supports EHR and other clinical or business information system report build and distribution configuration. * Completes assigned tasks in project and/or tracking system; Ensures task assignment completion is documented as soon as the task is completed to prevent delays in a project or assignment. * Documents and maintains application design and build documents, including Visio workflow diagrams, build trackers and IT Service Management. * Participates in interface planning, design, and testing. * Contributes to test script creation and perform testing tasks as assigned or needed. * Participates in activities related to project pre\-work, configuration, testing, training, activation, and post\-live support and stabilization * Identifies current and future customer requirements. Analyzes business and technical problems. * Participates in and may lead Operational Workgroups and documents work completed and next steps, as assigned. Compiles and assesses user feedback, gathers requirements for application configuration, and reviews applicaton build. Documents and communicates decisions, tasks/assignments, and deadlines. * Guides workflow design, building and testing applications, and analyzing other technical issues associated. * Works with training team to develop training materials. * Supports cutover and activation activities for the functional area. * Reviews the status of projects and issues on an ongoing basis with leaders. * Identifies and implements approved changes to the system. Prior to implementing changes, notifies manager or director of concerns related to approved changes based on knowledge of application and workflow. * Serves as a liaison between end users' workflow needs and vendor implementation staff. * Works with vendor representatives, MLH’s clinical and business leaders, and end users to ensure the system meets MLH’s clinical and business needs in regards to the project deliverables and timeline. Maintains regular communication with vendor representatives, including participating in project team meetings. * Troubleshoots problems and responds to questions. * Develops, conducts, and/or coordinates information technology and/or information management training programs for clinical departments, medical staff, students and others as required. * Coordinates new services requests \- network, hardware and software for assigned departments. * Communicates effectively by promoting the flow of information within and outside the department. * Demonstrates initiative in identifying opportunities for self\-development and enhancement of professional competency. * Primary support contact for application end users. * Provides after hours support through on call duties for critical systems. * Reviews, recommends and implements data security, integrity, backup and recovery procedures. * Familiar with emerging information technology relevant to assigned clinical and/or business areas. * Responds on a 7/24 on\-call basis to application and Customer problems; ensures that any problem within his/her ability to correct is addressed in a timely and professional manner. **Education/Formal Training Requirements** * Required \- Bachelor's Degree Computer sciences * Preferred \- Associates Degree Business Administration/Management * Preferred \- Associates Degree Computer sciences * Preferred \- Associates Degree Healthcare Administration * Preferred \- Bachelor's Degree Data Science * Preferred \- High School Diploma or Equivalent **Work Experience Requirements** * Required \- Computer programming 1\-3 years * Preferred \- Substitution allowed: In lieu of Bachelor’s degree, the candidate must have a high school diploma or equivalent with six (6\) years of applicable IT experience, applicable business or clinical knowledge 5\-7 years * Preferred \- Substitution allowed: In lieu of Bachelor’s degree, the candidate must have an Associate’s degree in Computer Science, Healthcare, Business or related field with four (4\) years of applicable computer programming or related experience plus applicable general business or clinical knowledge/training 3\-5 years **Knowledge, Skills and Abilities** * Good balance of operational experience, project management skills, and organizational skills. * Knowledgeable about MLH’s policies, procedures, and clinical/business operations * Demonstrated knowledge in the following: software business intelligence, data analysis data mining, compiler/decompiler, user interface, enterprise application integration, operation job scheduling and server and network monitoring. * Knowledge of design techniques, tools, and principles involved in the production of precision data models, queries, and programs. * Advance knowledge of SQL and relational database management systems. * Demonstrated knowledge of programming, data modeling, simulation, as well as statistics and mathematics. * Ability to parse data in common file formats such as csv and xml files, applying regular expressions and mathematical transforming data into information. * Ability to communicate verbally and in writing information concepts and methods to non\-technical users. **Supervision Provided by this Position** * There are no lead or supervisory responsibilities assigned to this position. **Physical Demands** * Subject to call back at all times. Ability to travel to any area of the organization, both local and remote as needed. Must provide own transportation. * Required to sit for extended periods. * The physical activities of this position may include climbing, pushing, standing, hearing, walking, reaching, grasping, kneeling, stooping, and repetitive motion. * Must have good balance and coordination. * The physical requirements of this position are: light work \- exerting up to 25 lbs. of force occasionally and/or up to 10 lbs. of force frequently. * The Associate is required to have close visual acuity to perform an activity, such as preparing and analyzing data and figures; transcribing; viewing a computer terminal; or extensive reading. * The conditions to which the Associate will be subject in this position: The Associate is not substantially exposed to adverse environmental conditions; job functions are typically performed under conditions such as those found in general office or administrative work. Our Associates are passionate about what they do, the service they provide and the patients they serve. We value family, team and a Power of One culture that requires commitment to the highest standards of care and unity. Boasting one of the South's largest medical centers, Memphis blends a friendly community, a thriving and growing downtown, and a low cost of living. We see each day as a new opportunity to make a difference in the lives of the people in our community.

Health Data Scientist (AI & Clinical Data) (26-003)

Strategic Analysis, Inc. (SA) Is actively seeking a **Health Data Scientist** to provide technical leadership in data design, evaluation strategy, and clinical realism for a multi\-stakeholder program advancing AI diagnostics for rare diseases. This is a Science and Engineering and Technical Advisor (SETA) role focused on ensuring that datasets, benchmarks, and evaluation methods are scientifically rigorous, clinically grounded, and aligned with real\-world use. In this role, Health Data Scientist will operate at the intersection of health data, AI evaluation, and clinical practice, providing expert guidance to program leadership and external performers. You will help define what success means for AI diagnostics in rare disease contexts and ensure that technical progress translates into meaningful clinical insight and patient impact. This role is ideal for someone who combines deep experience with healthcare data and AI evaluation with the ability to critically assess methodologies, anticipate failure modes, and translate clinical realities into measurable technical criteria. **Roles and Responsibilities:** 1\. Lead and advise on the design, preparation, and validation of healthcare datasets used across the program, including EHR, genomic, and multimodal data. 2\. Define and assess evaluation strategies and benchmarks that are clinically realistic, methodologically sound, and resistant to shortcut learning or leakage. 3\. Review technical proposals, model submissions, and evaluation results from external teams, providing expert feedback on validity, risks, and interpretability. 4\. Assess data quality, representativeness, and bias, and advise on mitigation strategies appropriate to rare disease contexts. 5\. Evaluate alignment between technical performance metrics and clinical decision\-making needs, working closely with clinical SMEs. 6\. Identify gaps between benchmark performance and real\-world applicability, and advise on corrective actions. 7\. Serve as a technical bridge between AI developers, clinical experts, and program leadership. 8\. Support the program manager with technical assessments, recommendations, and decision support related to data and evaluation. 9\. Track progress of external partners and identify data\- or evaluation\-related risks that could impact program outcomes. 10\. Produce high\-quality written reports, analyses, and presentations that communicate technical findings to diverse audiences. This role is suited to candidates who: * Think deeply about measurement, validity, and scientific rigor. * Are comfortable exercising judgment in ambiguous or under\-specified evaluation contexts. * Maintain high standards for data quality and methodological integrity. * Communicate clearly across clinical, technical, and programmatic audiences. * Operate with ownership and accountability in high\-stakes environments. * Are motivated by advancing AI systems that deliver real clinical and patient impact, not just strong metrics. **Minimum Qualifications:** * PhD in Biomedical Informatics, Data Science, Biostatistics, or a related field. * 5\+ years of experience working with healthcare or biomedical data in applied or evaluative roles. * Hands\-on experience with EHR, genomic, or multimodal healthcare datasets. * Deep understanding of AI/ML evaluation methods, including benchmarking, robustness, and sources of bias or leakage. * Demonstrated ability to critically review and assess technical work across health data and AI domains. * Strong understanding of data governance, privacy, and compliance in healthcare contexts. * Excellent written and verbal communication skills, with experience producing high\-quality technical materials. **Preferred Qualifications:** * Domain expertise in rare disease, diagnostics, or clinical decision support. * Prior experience in technical advisory, evaluation, or SETA\-style roles. * Experience collaborating closely with clinicians and healthcare stakeholders. * Experience working in fast\-paced, multi\-stakeholder, or early\-stage environments. Education: PhD in Biomedical Informatics, Data Science, Biostatistics, or a related field. Location: Position is remote. Travel: Periodic travel may be required Clearance: Ability to obtain HHS Public Trust.

Chief Data Scientist - UnitedHealthcare

$225,000 - $375,000/yr

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start **Caring. Connecting. Growing together.** The UnitedHealthcare Chief Data Scientist is a strategic leader responsible for establishing a new data science capability with the remit to transform data, advance analytics and AI into measurable enterprise value across the healthcare insurance ecosystem. This role ensures that advanced predictive analytics directly supports core business objectives, including affordability, quality of care, member experience, financial and actuarial planning and operational efficiencies. The Chief Data Scientist operates at a senior level and partners with senior UnitedHealthcare business leaders to identify high\-impact transformative opportunities and deliver solutions that drive impact. The senior leader will work cross functionally with the UnitedHealth Group and Optum teams to secure efficient, scalable and sustained solution design and deployment. You'll enjoy the flexibility to work remotely \* from anywhere within the U.S. as you take on some tough challenges. Hybrid in MN/DC: This position follows a hybrid schedule with four in\-office days per week. **Primary Responsibilities:** **UnitedHealthcare Strategy \& Business Alignment** * Collaborate with executive leaders across Financial, Actuarial, Healthcare Economics, Operations, Provider and Member Experience organizations to translate strategy into a prioritized data science roadmap with enhanced predictive capabilities * Identify and champion opportunities where AI and predictive analytics can improve care affordability, enhance population health management, optimize medical costs insights and signaling and streamline data and insights pipeline operations * Communicate analytical and predictive insights in clear, actionable terms to support strategic decisions and planning \- not in technical terms **Value Creation in Focus** * Lead development of value frameworks that quantify outcomes such as medical cost savings, improved quality scores, risk accuracy, utilization management efficiencies, financial forecasting, reserving and provider network performance * Ensure all predictive models and analytics directly improve key metrics and regulatory, legal and compliance performance **Applied AI Transformation Across the Insurance Lifecycle** * Drive end\-to\-end AI/ML development across connected data domains of claims, member, provider and networks * Enhanced Forecasting Capabilities: Predictive models for early detection, medical cost trends, member behavior insights and member population stratification * Support Utilization Management \& Care Management: Influence models to automate prior authorization, detect avoidable utilization and target members for care coordination * Provider Network Optimization: Predictive insights to manage provider performance, leakage, cost variation and contracting opportunities * Member Engagement \& Experience: Personalization models that improve retention, adherence and satisfaction * Payment Integrity \& FWA: Advanced anomaly detection and claims pattern analytics and predictions * Deliver high\-quality and contemporary data science models that are explainable, compliant and integrated into real\-world workflows **Operationalization \& Cross\-Functional Collaboration** * Partner with Technology, Clinical Operations, Claims, Actuarial and Product teams to deploy and scale AI solutions across the enterprise * Embed data science resources within key business areas to maximize adoption and impact * Ensure seamless integration of models into products, workflows and decision\-support systems **Leadership \& Talent Development** * Build and lead a high\-performing, multidisciplinary team of data scientists, data engineering experts, machine learning engineers and AI product partners * Foster a culture of innovation, collaboration and influence grounded in healthcare ethics and member\-first principles * Strengthen data literacy across UHC, empowering leaders to make informed decisions **Success Measures** * Recognized improvement in medical cost trend forecasting and improved affordability * Increased automation and efficiency across data and insights operations * Scaled adoption of AI\-enabled insights across business units * Strong governance, compliance readiness and responsible AI maturity * High engagement, retention and growth within the data science team **Technical Expertise** **Machine Learning \& Advanced Analytics** * Predictive modeling (classification, regression, survival analysis) * Ensemble methods, gradient boosting, random forests and XGBoost/LightGBM * Deep learning (NLP, sequence models, representation learning) * Probabilistic modeling and Bayesian methods * Time\-series forecasting (claims trend, utilization, membership, RAF forecasting) * Causal inference and uplift modeling for interventions and care programs **Productization of Data Science \& AI** * Building analytic products (risk engines, utilization predictors, network tools) * Designing feedback loops for continuous improvement * A/B testing and impact measurement in operational workflows * Integrating AI into digital member, provider experiences and internal workflows **Insurance Data Expertise** * Claims data (medical, pharmacy, behavioral, dental) * EHR/clinical data, lab results, clinical notes * Risk adjustment models * Quality measurement frameworks * Social determinants of health data integration * Provider data: NPI, cost/quality variation, contracting data **Natural Language Processing (NLP)** * Clinical document processing (progress notes, medical records, appeals) * Claims and prior authorization text extraction/automation * Named entity recognition for diagnoses, procedures, risk factors * Large language models (LLMs) for summarization, routing, code capture, member communication **AI/ML Engineering \& Deployment** * Model operationalization and MLOps * Feature stores, model registries, and artifact tracking * Model monitoring (drift, bias, performance, retraining) * Building scalable AI services/APIs for production * Real\-time inference and decision\-support integration * Cloud ML platforms knowledge **Data Engineering** * Data warehousing and lakehouse platforms (Databricks, Snowflake knowledge) * Data pipelines for high\-volume claims and clinical data * Data modeling for healthcare operations (member, provider, claims) **Preferred Programming \& Tools knowledge** * Python (pandas, scikit\-learn, PyTorch, TensorFlow) * SAS (STAT, ETS and OR) * R (useful for actuarial, risk, quality analytics) * Spark/PySpark * Visualization and BI platforms (Power BI) You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. **Required Qualifications:** * 15\+ years of proven executive leadership experience in advanced analytics, insurance operations, actuarial science or/and applied AI * Deep understanding of the insurance ecosystem, including medical cost drivers, regulatory frameworks, claims workflows and quality performance metrics * Proven track record of delivering data science and AI solutions that drive measurable financial and clinical impact * Solid expertise in predictive modeling, machine learning, data and analytical solution design * Expect level experience linking a business problem to applied data science techniques leading the hands\-on technical talent in model development * Solid communication and partnership skills, with ability to align complex analytics to business and financial outcomes * Ability to demonstrate value\-based leadership aligned to UnitedHealth Group culture and hire, grown and retain data science talent for future success * All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far\-reaching choice of benefits and incentives. The salary for this role will range from $225,000 to $375,000 annually based on full\-time employment. We comply with all minimum wage laws as applicable. **Application Deadline:** This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. *At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone\-of every race, gender, sexuality, age, location and income\-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes \- an enterprise priority reflected in our mission.* *UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.* *UnitedHealth Group is a drug \- free workplace. Candidates are required to pass a drug test before beginning employment.*

Senior Data Scientist, Bitcoin

$160,000 - $220,000/yr

Data Scientist - Model Strategy Management

$163,600 - $245,400/yr

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurt

Data Scientist/Analyst

Senior Data Scientist – Healthcare Journey Analytics

Data Scientist 1 - Healthcare

**JOB SUMMARY** Value\-Based Care (VBC) Analytics is an independent organization covering the Baylor Scott \& White Health Plan (Payer) and Baylor Scott \& White Quality Alliance (Accountable Care Organization) analytical and data science needs. We are seeking a customer\-facing Healthcare Data Scientist who works closely with key business stakeholders within the value\-based care team, to develop use cases related to difficult to solve and complex business challenges. The ideal candidate will work on creating machine learning models using appropriate techniques to derive predictive insights that enable stakeholders to glean insights and enable actions to improve business outcomes. **ESSENTIAL FUNCTIONS OF THE ROLE** * Communication and Consulting: Summarize and effectively communicate complex data science concepts to inform stakeholders, gain approval, or prompt action from non\-technical audience from data\-driven recommendations. * Applied Machine Learning: Implement machine learning solutions within production environments at scale. Apply appropriate machine learning techniques that directly impact HEDIS/Stars initiatives * Data Collection and Optimization: Collect and analyze data from a variety of SQL environments (Snowflake, SQL Server) and other data sources, including vendor derived data, electronic health records, and claims data. * Analyze Healthcare Data: Conduct detailed analyses on complex healthcare datasets to identify trends within HEDIS/Stars and utilization, patterns, and insights that support value\-based care initiatives, particularly in quality, adherence to standards of care. * Stay Informed: Stay up to date on the latest advancements in data science and healthcare analytics to continuously improve our methodologies and tools. **KEY SUCCESS FACTORS** The ideal candidate will have some of the following skills and an eagerness to learn the rest. * Healthcare Knowledge: Understanding and prior experience in handling data pertaining to HEDIS, Stars measures and Regulatory specifications. Experience in admin claims data sources such as medical/pharmacy claims, social determinants of health (SDOH) and electronic health records is also required. * Education: Bachelor’s or advanced degree in mathematics, statistics, data science, Public Health or another quantitative field. * Effective Communication: Experienced in communicating findings and recommendations directly to Executive\-level customers and healthcare professionals. * Analytics Skills: Academic or professional experience conducting analytics and experimentation using algorithms associated with advanced analytics topics, including binary classification algorithms, regression algorithms, Neural Network frameworks, Natural Language Processing, etc. * Technical Skills: Proficiency in common language / tools for AI/ML such as Python, PySpark. Understanding of software engineering topics, including version control, CI/CD, and unit tests. * Problem Solving: A passion for solving puzzles and digging into data. * Technology Stack: Familiarity with deploying data science products at scale in a cloud environment such as Snowflake, Databricks or Azure AI/ML Studio. **BENEFITS** Our competitive benefits package includes the following * + Immediate eligibility for health and welfare benefits * + 401(k) savings plan with dollar\-for\-dollar match up to 5% * + Tuition Reimbursement * + PTO accrual beginning Day 1 Note: Benefits may vary based upon position type and/or level **QUALIFICATIONS** \- EDUCATION \- Masters' or Bachelors plus 2 years of work experience above the minimum qualification \- EXPERIENCE \- 3 Years of Experience

Data Scientist – Healthcare Journey Analytics

Manager Data Scientist and Operations Research

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

**Description** ### **About Norstella** Norstella is a premier and critical global life sciences data and AI solutions provider dedicated to improving patient access to life\-saving therapies. Norstella supports pharmaceutical and biotech companies across the full drug development lifecycle — from pipeline to patient. Our mission is simple: to help our clients bring therapies to market faster and more efficiently, ultimately impacting patient lives. Norstella unites market\-leading brands \- Citeline, Evaluate, MMIT, Panalgo, Skipta and The Dedham Group and delivers must\-have answers and insights, leveraging AI, for critical strategic, clinical, and commercial decision\-making. We help our clients: * Accelerate the drug development cycle * Assess competition and bring the right drugs to market * Make data driven commercial and financial decisions * Match and recruit patients for clinical trials * Identify and address barriers to therapies Evaluate is a global company providing outstanding market intelligence services for the Pharmaceutical, Medical Device, Financial and Consulting sectors, through the Evaluate Pharma®, Evaluate Medtech®, Evaluate Omnium and Evaluate Vantage® online brands. Our international clients in Pharma and Biotech, Medtech, Banking and Consultancy regard Evaluate Pharma® as the industry’s gold standard for timely and accurate analysis of reported drug sales, consensus sales forecasts, R\&D pipeline, markets and comprehensive company financials.### **The Team** In this role as a Generative AI Lead Scientist you will report into the Head of Data Science, within Norstella. Your role will be to work with a dedicate group of data scientists and developers to use LLMs and related technologies to design and build products which will help answer complex customer questions directly, with citations and sources. We have a multi\-functional team consisting of pharmaceutical industry experts, R\&D, data engineering and data scientists to rapidly prototype using both our existing and newly acquired datasets across the pharmaceutical life cycle. ### **Scope of the Role** In this role as a Generative AI Lead Scientist you will: * Work with our Product leadership within Norstella to define and shape new offerings using Generative AI * Manage a team of data scientists and developers to provide Generative AI\-enabled microservices to the front end dev team * Manage a roadmap of Generative AI work, mixing new product development and enhancements to existing services * Define reference architectures suitable to answer complex questions, including via code interpreting, LLM tool use and leveraging secondary data science models * Coach and train a team of data scientists and developers to use these architectures * Stay up\-to\-date, constantly learning about advances in the field, and deliver periodic presentations to the data science team on these developments * Perform other duties, as assigned ### **How You'll Succeed** Ultimately our goal is to smooth patient access to life\-saving therapies. You will work with R\&D pharma specialists to understand a problem which is hindering developing and releasing effective new pharma products which we believe we can help with. After understanding the problem you will conceptualise potential solutions; this will involve breaking down the problem into individual steps, and identifying which of them can be solved with available LLMs and other algorithms. Finally, an overall solution can be packaged together with multiple models chained together, mixed with classical logic and business rules. After conceiving potential solution(s), you will define a set of projects for the data scientists and python developers to implement your solution as a proof\-of\-concept. You will deliver indicative results from your PoC into datasets for exploration by the broader multi\-functional team. You will also perform code reviews with the data science team to examine their implementation and consider ways of strengthening the final codebase and methodology. After iterating the design with the multi\-functional team as part of customer\-led product development, you might convert your prototype into a full product. This will involve productionising code from you and the team to a high standard, containerisation, and deployment of the algorithm, usually as an API in AWS SageMaker, or for smaller pieces Lambdas which invoke models via API. Over time you may revisit this product, re\-evaluate its performance, and redesign/improve as required.### **Essential Requirements** * Degree at Masters level or better in a STEM field such as Maths, Physics, Computer Science, Engineering, or equivalent practical experience * Leadership experience, line managing data scientists or other highly specialised professionals * Excellent communication skills when working with a broader development and product team * Knowledge of Scrum, Kanban, and other Agile methodologies, as well as breaking down tasks into Jira tickets * Proven experience using LLMs and prompt engineering inside applications to solve problems not tractable with older techniques * Excellent knowledge of python and core data science libraries including Pandas, NumPy and other similar libraries ### **Nice to have** * Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake * Knowledge of the pharmaceutical industry, in particular the stages of pharmaceutical product development * Ability to rapidly prototype new product ideas with a basic familiarity across the full stack, webapp to database * Experience using external APIs in a production context ### **Benefits** * 25 days annual leave, 4 days for volunteering and a personal day * Flexible working and flextime policies * 5% pension match * Group Life Assurance (100% employer funded) * Group Income Protection (100% employer funded) * Other voluntary benefits such as: Dental, Cash Plan, PMI Excess Cover, Health Screening \& Critical Illness Maternity, Paternity \& Adoption leave * *Evaluate is an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people’s differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual’s abilities, skills, performance and behaviour and our business requirements. Evaluate operates a zero tolerance policy to any form of discrimination, abuse or harassment.*

Lead Data Scientist

Principal Associate, Data Scientist - Business Data Product

Principal Associate, Data Scientist \- Business Data Product Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast\-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data\-driven decision\-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. **Team Description** The Apollo Team is Capital One’s one stop shop for authoritative, 360 degree information on US businesses. We are on a mission to build a market leading, business critical Business Data Product and Platform that gives our customers a competitive advantage through information. Our customers rely on Apollo’s data and capabilities to market, sell, verify, underwrite, serve, and protect business customers, often in real\-time intelligent ways. Business data is a complex, multi\-billion dollar problem that is poorly served by legacy providers. We are tackling this critical opportunity by acquiring and processing massive amounts of data, leveraging cutting\-edge ML/AI to resolve identity, predict valuable features, create graph connections to various touchpoints, and architecting interfaces that allow our users to seamlessly integrate Apollo into their workflows. Data Science is at the heart of Apollo and this role will have an opportunity to shape the next generation of capabilities. **Role Description** **In this role, you will:** * Partner with a cross\-functional team of data scientists, software engineers, and product managers to deliver a product customers love * Leverage a broad stack of technologies \- Python, Conda, AWS, H2O, Spark, and more \- to reveal the insights hidden within huge volumes of numeric and textual data * Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation * Flex your interpersonal skills to translate the complexity of your work into tangible business goals **The Ideal Candidate is:** * Innovative. You continually research and evaluate emerging technologies. You stay current on published state\-of\-the\-art methods, technologies, and applications and seek out opportunities to apply them. * Technical. Strong background in ML/AI and engineering practices is essential, with hands\-on experience in areas such as Entity Resolution, Information Retrieval, Graph\-based ML, LLMs, Embeddings, or Deep Learning. Candidates should also be proficient in large\-scale data processing using tools like PySpark and be adept at integrating software engineering best practices into their coding. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A strong communicator with strong verbal and written communication, tailoring the message to the audience, including senior leadership audiences * Results Focused: driven towards results, able to drive projects from ideation to prototype to production **Basic Qualifications:** * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics + A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) **Preferred Qualifications:** * Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) * At least 3 years of experience in Python, Scala, or R * At least 3 years of experience with machine learning * At least 3 years of experience with SQL, PySpark * At least 1 year of experience working with AWS **Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.** The minimum and maximum full\-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part\-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 \- $184,600 for Princ Associate, Data Science New York, NY: $176,500 \- $201,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well\-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part\-time status, exempt or non\-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non\-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug\-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23\-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901\-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1\-800\-304\-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third\-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr Data Scientist - Model Development

Lead Data Scientist

Data Scientist I: Network and Contracts

Hi, we're Oscar. We're hiring a Data Scientist to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: As a Data Scientist I, you will partner closely with our Market P&L, Tech and Legal te

Data Scientist II: Networks and Contracts

Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: Oscar's data team is focused on pushing our understanding of this complex landscape of

Data Scientist - Risk and Trading (Daily Fantasy Sports)

$75,000 - $150,000/yr

**About Sleeper:** Sleeper is one of the fastest growing sports platforms in the US. As the leader in Fantasy Sports, Sleeper’s product portfolio includes a variety of free\-to\-play Fantasy Sports and real money Daily Fantasy Sports (“DFS”) games and applications. Our growing list of titles spans a diverse range of sports leagues, including the NFL, NBA/WNBA, MLB, NHL, EURO, and other soon\-to\-be released offerings. We are seeking a Data Scientist with relevant DFS or Sportsbook experience to help support our risk and trading function. **Responsibilities:** * Support risk and liability management with respect to Sleeper’s DFS operations, conducting data analysis and modeling to identify trends, patterns, and insights. * Develop predictive models and algorithms to better understand Sleeper’s real\-time liability, including risk exposure related to specific markets and events. * Conduct data wrangling, processing and cleaning operations, and design processes, as well as tools for monitoring and analyzing performance and accuracy. * Monitor all pricing for real\-time odds, active player statistics markets, breaking news, and other relevant information to make real\-time market adjustments / suspensions, while also ensuring that data flows from external partners are being recorded timely and accurately. * Build out user risk profiles, staying close to behavior patterns and trends, and collaborate with product and engineering teams to enhance personalization within our DFS ecosystem. * Automate risk and trading processes to scale for growth in users, sports, and markets in support of all game operations, and contribute to research and innovation for this function as a whole. **Qualifications:** * Background in computer science, data science, machine learning, mathematics/statistics, or a similar field with related experience. Comfortable working with and analyzing large data sets. * In\-depth knowledge of DFS, sports betting, player props, handicapping, expected value, and closing line value. Ideal candidates have extensive experience with high volumes of DFS/sports betting and real money games, either as a trader, \+EV bettor, and/or oddsmaker. * Proactive – ready to hit the ground running; excited about the idea of building out processes from scratch, and not afraid to break the “sports trading mold”, challenging how the industry has historically approached risk management and trading. * Comfortable working “off hours” to align with peaks in the sports calendar. This will often include nights and weekends. We are generally quite flexible and will work with you to ensure an appropriate work/life balance is molded around game schedules. * Knowledge of SQL, Python, and/or related software/tools, and familiarity in working with databases, data warehouses, data visualizations and report building. * Experience with player performance metrics, game outcome predictions, in\-game event modeling, as well as working with real\-time sports data feeds and APIs. **Additional Information:** We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base salary range and/or a general description of benefits and other compensation applicable to the role. For this role, in this particular location, a reasonable estimate of the base salary range for new hires is between $75,000 USD to $150,000 USD, plus benefits including Medical, Dental, PTO, and 401k. Please note that the salary range for this role takes into account a wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. The policy of Sleeper is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity. Sleeper is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by sending an email to jobs@sleeper.app. Headquartered in Las Vegas, NV, Sleeper is backed by Silicon Valley’s top investors, including Andreessen Horowitz, General Catalyst, and Expa. To learn more, visit us online at: www.sleeper.com

Business Data Scientist, Forecasting, Google Cloud

Revenue Management Data Scientist

[2026] Data Scientist - PhD Intern (Short Term)

$133,120 - $133,120/yr

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people c

Data Scientist II (RWD)

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give

Data Scientist II

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give

PhD Data Scientist, Intern

From CA$148,200/yr

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy w

[Summer 2026] Data Scientist - PhD Intern

$133,120 - $133,120/yr

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people c

Data Scientist III

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give

[2026] Data Scientist, Social - PhD Early Career

$184,960 - $220,300/yr

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people c

Business Process Consultant (w/m/d) als Technical Data Analyst / Data Scientist

Data Scientist - Developer Tools (London, United Kingdom)

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration,

Data Scientist / Data Engineer within Defence & Security – Deloitte via AMS Skills Creation

Job Title: Data Scientist / Data Engineer within Defence \& Security – Deloitte via AMS Skills Creation Training Salary: Competitive / Deployment Salary: Competitive Launch Your Career in Data Science and Engineering with Deloitte Are you a STEM graduate or have a strong technical background? Ready to start an exciting career in data science and engineering? This is your opportunity to join Deloitte UK through AMS Skills Creation and make an impact on projects that matter. We’re deliberate about hiring for potential. Your analytical mindset, clear communication and passion for data matter most. If you bring a growth mindset and the discipline to keep learning, we’ll invest in building the technical skills that set you up for long‑term success. Begin with a 12\-week paid training program covering Python programming, data analysis, AI, machine learning, and cloud technologies like AWS. You’ll gain the skills that power today’s digital world and prepare for real\-world challenges. After training, you’ll join the AI \& Data Solutions practice within Deloitte, working in the defence and security sector. Here you’ll be working with clients in multi\-disciplinary teams to drive innovation and insight from their data, using cutting edge Machine Learning techniques; and building pipelines that ingest, transform, and enrich high volumeand variety data into accessible, trusted information assets that can be used to derive actionable insights. What You’ll Do * **Develop best practise programming principles:** Python, OOP and testing**.** * **Data Science and Machine Learning:** Train, evaluate and deploy machine learning models. * **Design and Build Data Infrastructure**: Develop scalable data pipelines and implement ETL processes. * **Utilise Big Data Technologies:** Apache Spark and PySpark. * **Cloud \& Containerisation Technologies**: Work with AWS, Dockerfile and Docker CLI. * **Data Warehousing:** Collect, store and prepare data by using AWS services including Amazon DynamoDB, Amazon EMR, Amazon Kinesis and Amazon S3\. * **Automation \& Optimization**: Streamline workflows and enhance performance. * **Collaboration**: Partner with data scientists, engineers and business teams to deliver actionable insights using Agile methods and Jira. * **Develop deep understanding of the Defence and Security sector:** Learn the broader context and domain to ensure successful AI and data solutions are delivered. Essential Skills * Degree in a STEM subject **or** equivalent technical experience in software development, data engineering, or data science. * Strong analytical mindset and problem\-solving skills. * Ability to communicate complex ideas clearly. * Passion for data and continuous learning. * Motivated by working with UK defence and security clients. Benefits * **Paid Training**: Earn while you learn. * **Expert\-Led Development**: 12 weeks of structured training in data science and engineering. * **Career Growth**: Join a global leader committed to your development. * **Impactful Work:** Be at the heart of some of the biggest and most ambitious programmes undertaken to keep our country safe. Location · Manchester \- You must live within a daily commutable distance of the Deloitte office. · It is expected that you will work in a Deloitte office / on client site 5 days per week. Security Criteria Successful applicants will join the training program while Deloitte carries out onboarding and security checks for the role. Please note that this opportunity is contingent on passing Security Check (SC) \& Developed Vetting (DV) clearance. Factors such as nationality (UK or dual), previous nationalities held, and place of birth, can impact your ability to gain clearance. For more details about the clearance process visit the official government guidance: · Official government guidance · United Kingdom security vetting · Vetting charter United Kingdom Security Vetting (UKSV) is the main UK government provider of security clearances. Essential: Willing and eligible to get Developed Vetting (DV) clearance (UK national, 10 years’ continuous UK residency). Candidates who do not meet DV criteria cannot be considered for this role. Apply Now Be part of a team shaping the future of data. Help us unlock the value of data to build a safer, fairer, and more prosperous UK. Job Type: Full\-time Pay: £25,000\.00\-£30,000\.00 per year Benefits: * Flexitime Work Location: In person

Senior Data Scientist, Bitcoin

$198,000 - $297,000/yr

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurt

entry level data scientist/Junior java developer

Senior Data Scientist - Industry Solutions Engineering

Machine Learning Engineer / Data Scientist

### **About Fusemachines** **Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.** ### **Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high\-quality AI education in underserved communities and helping organizations achieve their full potential with AI.** **Type: Full\-time, Remote**### **Role Overview** We’re hiring a mid\-to\-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams. You should be strong in core data science and applied machine learning, comfortable working with real\-world data, and capable of turning modeling work into production\-ready systems. ### **Key Responsibilities** * Problem Framing \& Stakeholder Partnership + Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.). + Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability). * Data Analysis \& Feature Engineering + Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses. + Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices. + Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions. * Model Development (Core ML) + Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree\-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data). + Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross\-validation. + Build time series models (statistical and ML/DL approaches) and validate with proper backtesting. + Apply clustering and segmentation techniques (k\-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness. + Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision\-making. * Deep Learning + Build and train deep learning models using PyTorch or TensorFlow/Keras. + Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design). * Evaluation, Explainability, and Iteration + Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports. + Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence. * Productionization \& MLOps (Project\-Dependent) + Package models for deployment (batch scoring pipelines or real\-time APIs) and collaborate with engineers on integration. + Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans. * Documentation \& Communication + Communicate tradeoffs and recommendations clearly to technical and non\-technical stakeholders. + Create documentation and lightweight demos that make results actionable. ### **Success in This Role Looks Like** * You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency). * Your work is reproducible and production\-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring. * Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly. ### **Required Qualifications** * 3–8 years of experience in data science, machine learning engineering, or applied ML (mid\-to\-senior). * Strong Python skills for data analysis and modeling (pandas/numpy/scikit\-learn or equivalent). * Strong SQL skills (joins, window functions, aggregation, performance awareness). * Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset. * Hands\-on experience across multiple model types, including: + Classification \& regression + Time series forecasting + Clustering/segmentation * Experience with deep learning in PyTorch or TensorFlow/Keras. * Strong problem\-solving skills: ability to work with ambiguous goals and messy data. * Clear communication skills and ability to translate analysis into decisions. ### **Preferred Qualifications** * Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows). * Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining). * Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks). * Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker). * Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls). * Consulting or client\-facing delivery experience. **Certifications (Strong Plus)** Candidates with at least one relevant certification are especially encouraged to apply: * Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks) * Databricks certifications (Data Scientist, Data Engineer, or related) ### **Nice\-to\-Have** * Causal inference experience (e.g., quasi\-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests). * Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products. * Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI\-assisted IDEs, code agents, automated testing/refactoring, repo\-aware assistants), including strong judgment on quality, security, and maintainability. *Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.* **Important: Immigration Sponsorship Policy** Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: * Direct Company Sponsorship: Such as H\-1B, J\-1, or TN visas. * Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. * Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT). qUN1H2divA