Senior Data Scientist F M D Jobs

Senior Associate, Data Scientist - Alternative Data Strategy

From $135,600/yr

Senior Associate, Data Scientist - Alternative Data Strategy 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 Alternative Data Strategy team drives credit decisioning forward by integrating non-traditional datasets into US Card strategies. As a Data Scientist, you will evaluate emerging vendors and data products, engineer high-impact features, build scalable processing and monitoring systems, and serve as the dedicated data domain expert guiding all users on dataset applications. In this role, you will also navigate risk governance for vendor models and build challenger models using new data to enhance existing ones. The scope involves rich cross-functional collaboration and continuous learning opportunities. 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 * This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. 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. * 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. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. * Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. * A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. 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 2 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 Preferred Qualifications: * Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) * Experience working with AWS * At least 2 years’ experience in Python, Scala, or R * At least 2 years’ experience with machine learning * At least 2 years’ experience with SQL 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: $135,600 - $154,800 for Sr Assoc, Data Science New York, NY: $148,000 - $168,900 for Sr Assoc, 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).

Senior Data Scientist / Data Scientist III

From $112,110/yr

Join the Cleveland Clinic team, where you will work alongside passionate caregivers and provide patient-first healthcare. Cleveland Clinic is recognized as one of the top hospitals in the nation. At Cleveland Clinic, you will work alongside passionate and dedicated caregivers, receive endless support and appreciation, and build a rewarding career with one of the most respected healthcare organizations in the world. As a Senior Data Scientist or Data Scientist, you will utilize statistical and machine learning techniques, high-performance data architecture, and advanced technologies to address complex business problems and analyze large, unstructured datasets. In this role, you will design, implement, and champion data modeling and advanced analytical methods while providing guidance to the data scientist group and independently advising Department and Institute leadership. We will hire our Data Scientist in two different job titles, based on educational background: * Senior Data Scientist * Data Scientist III A caregiver in this role works remotely in Ohio, Florida, or Nevada, Monday through Friday from 8:00 a.m. – 5:00 p.m. (Flexible), with less than 5% travel. To be considered for this position, caregivers must reside in Ohio, Florida, or Nevada. A caregiver who excels in this role will: * Engage business leadership, internal stakeholders, and technology partners to discuss the business benefits of Machine Learning (ML) and Artificial Intelligence (AI). * Lead Data Science service education and awareness activities for stakeholders and internal customers. * Lead problem formulation and model building, leveraging ML and AI technologies to define analytics and synthesize findings that address customer requirements and generate value. * Advise customers and prospects on technology and tool selection to meet emerging analytics requirements and maximize value from existing and future data. * Lead the launch and implementation of proof-of-concept projects and operationalize successful concepts. * Stay current on developments in data science and their potential applications within the organization. * Contribute to scientific literature and academic partnerships. * Educate stakeholders and internal customers on communicating the vision and value of advanced analytics, qualifying interested prospects, and proposing Data Science services. * Lead relationship development and technology evaluation for prospective enterprise partnerships. * Lead instruction of the Analytics University curriculum for Cleveland Clinic caregivers. * Provide independent peer review of models, including assessment and communication of feedback. * Perform other duties as assigned. Senior Data Scientist Minimum qualifications for the ideal future caregiver include: * Bachelor’s Degree in Statistician, Actuarial Science, Econometrics, Physics, Biostatistics, Computer Science, Applied Mathematics, Engineering, Business Analytics, Economics, Finance or related field and 8 years related experience inclusive of 2 years in healthcare or life sciences working with relational databases and/or distributed computing platforms, and their query interfaces, such as SQL, Teradata, MapReduce, PIG, and Hive * OR Ph.D. and 4 years of relevant experience * OR Master’s degree and 6 years of relevant experience * Experience working with a variety of statistical languages/packages, e.g., SAS, R, Python, Spark, and/or SPSS * Knowledge of applying advanced statistics to complex business problems required (e.g., modeling, AI, ML, Deep Learning [DL], and/or Natural Language Processing [NLP]) * Familiarity with additional programming languages, including Python, Java, or C/C++ * Experience leveraging visualization software and techniques and business intelligence (BI) software * Technical knowledge of distributed computing platforms, and common data process flows from data instrumentation \& generation, to ETL, to the data warehouse itself * Demonstrated leadership qualities, including presentation, influencing and negotiation * Excellent written, verbal, and presentation skills in English and ability to explain the value of Machine Learning (ML) and Artificial Intelligence (AI) to business leaders * Strong business-orientation, able to select the appropriate complex quantitative methodologies in response to specific business goals Preferred qualifications for the ideal future caregiver include: * Master’s or Ph. D. * Certification or fellowship in analytics, big data, data science or related subject * Technology partner certification (in technology, Big data, business or advanced analytics, data science) – Microsoft, Oracle, Teradata, IBM, EMC, Cloudera, Hortonworks, Informatica, Tableau, SAS, R, Python * Leadership experience * Lead experience with project management and change management methodologies * Experience leading successful projects and mentoring junior developers Data Scientist III Minimum qualifications for the ideal future caregiver include: * Bachelor’s Degree in Statistician, Actuarial Science, Econometrics, Physics, Biostatistics, Computer Science, Applied Mathematics, Engineering, Business Analytics, Economics, Finance or related field and six years related experience working with relational databases and/or distributed computing platforms, and their query interfaces, such as SQL, Teradata, MapReduce, PIG, and Hive. * OR Ph.D. and two years of relevant experience. * OR Master’s degree and four years of relevant experience * Excellent written, verbal, and presentation skills in English * Ability to explain the value of Machine Learning (ML) and Artificial Intelligence (AI) to business leaders * Experience working with a variety of statistical languages/packages, e.g., SAS, R, Python, Spark, and/or SPSS * Knowledge of applying advanced statistics to complex business problems (e.g. modeling, AI, ML, Deep Learning [DL], and/or Natural Language Processing [NLP]). * Familiarity with additional programming languages, including Python, Java, or C/C++ * Experience leveraging visualization software and techniques and business intelligence (BI) software * Technical knowledge of distributed computing platforms, and common data process flows from data instrumentation \& generation, to ETL, to the data warehouse itself * Demonstrated leadership qualities, including presentation, influencing and negotiation Preferred qualifications for the ideal future caregiver include: * Master’s or Ph. D * Certification or fellowship in analytics, big data, data science or related subject * Technology partner certification (in technology, Big data, business or advanced analytics, data science) – Microsoft, Oracle, Teradata, IBM, EMC, Cloudera, Hortonworks, Informatica, Tableau, SAS, R, Python * Healthcare or life science experience * Leadership experience * Lead Experience with project management and change management methodologies The compensation range provided corresponds to the Senior Data Scientist or Data Scientist III position. Individual pay rates may vary depending on Education Background and Relevant Experience\ Physical Requirements: * Ability to perform work in a stationary position for extended periods * Ability to operate a computer and other office equipment * Ability to communicate and exchange accurate information * Ability to travel throughout the hospital system Personal Protective Equipment : * Follows standard precautions using personal protective equipment as required. Pay Range Minimum Annual Salary: $112,110.00 Maximum Annual Salary: $170,955.00 The pay range displayed on this job posting reflects the anticipated range for new hires. A successful candidate’s actual compensation will be determined after taking factors into consideration such as the candidate’s work history, experience, skill set and education. The pay range displayed does not include any applicable pay practices (e.g., shift differentials, overtime, etc.). The pay range does not include the value of Cleveland Clinic’s benefits package (e.g., healthcare, dental and vision benefits, retirement savings account contributions, etc.).

Data Scientist, Senior

From $99,000/yr

Job Number: R0250155 Data Scientist, Senior The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: * 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining * 5+ years of experience with statistical and general-purpose programming languages for data analysis * 5+ years of experience analyzing structured and unstructured data sources * Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources * Experience leading the development of solutions to complex programs * Experience with Python and SQL * Ability to travel up to 25% of the time * TS/SCI clearance * Bachelor’s degree * DoD 8140 baseline Level II Certification such as Security+, CySA+, or CISSP Certification Nice If You Have: * Experience with multiple intelligence types, including SIGINT, OSINT, ELINT, GEOINT, MASINT, or HUMINT * Experience with Grafana * Experience with geospatial data analysis tools such as Brewlytics, JEMA, or ArcPro * Knowledge of GEOINT collection and associated systems Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. * Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. * Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. * Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Data Scientist- Senior with Security Clearance

From $10/yr

Title Data Scientist- Senior Full-Time/Part-Time Full-Time Description RiVidium Inc. is seeking a highly experienced Senior Data Scientist to transform complex data into actionable insights that drive strategic decision-making. The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big data technologies, along with the ability to solve complex problems and predict future trends. This role requires close collaboration with business stakeholders and cross-functional teams to understand organizational challenges, translate data into meaningful insights, and deliver scalable data-driven solutions. The Senior Data Scientist will lead end-to-end data science initiatives-from data collection and model development to deployment and performance monitoring. Key Responsibilities * Lead the design, development, and deployment of advanced statistical and machine learning models * Translate complex data into actionable insights to support business strategy and decision-making * Manage data science projects from conception through deployment, ensuring timely and high-quality delivery * Collaborate with cross-functional teams to identify business needs and develop data-driven solutions * Build and optimize predictive models to solve complex problems and forecast future outcomes * Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement * Design and implement data platforms for analysis, experimentation, and scalability * Assess and improve data quality, data sources, and data collection methodologies * Develop algorithms and analytical tools to extract insights from structured and unstructured data * Present findings through clear visualizations and storytelling techniques for technical and non-technical audiences * Drive innovation and continuous improvement in data science methodologies and technologies * Ensure data standardization, governance, and best practices across projects * Stay current with emerging trends in data science, machine learning, and artificial intelligenceMinimum Qualifications * Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Operations Research, or a related quantitative field (or equivalent experience in fields such as economics, engineering, or physics) * Minimum 10 years of relevant professional experience * 6-8 years of experience leading and executing data science projects, preferably in areas such as risk modeling, real-time analytics, performance optimization, or quality assessment * Strong proficiency in programming languages such as Python, R, Java, C++, MATLAB, or similar * Experience with SQL, PL/SQL, and NoSQL or Hadoop-based database technologies * Hands-on experience with data visualization tools and techniques * Strong knowledge of machine learning algorithms, statistical modeling, and data mining techniques * Experience with big data technologies such as Hadoop, Apache Spark, or similar platforms * Familiarity with natural language processing (NLP) and/or image processing techniques * Experience working with Microsoft tools, including SharePoint * Strong analytical, problem-solving, and critical thinking skills * Excellent communication, presentation, and stakeholder engagement abilities * Experience working across cloud, on-premises, and hybrid environments, including containerization technologies such as Docker, Kubernetes, and AWS Elastic Container Service (ECS) * Experience with data science platforms such as RStudio, Spark, or similar tools * Strong documentation and project management skills * Active TS/SCI clearance required at contract startPreferred Qualifications * Specialized expertise in text analytics, image recognition, graph analytics, or deep learning * Experience solving complex problems in computer vision or natural language processing domains * Prior experience supporting the Department of War (DoW) or Department of the Navy (DoN) * Familiarity with federal law enforcement (LE) systems or prior experience in LE environmentsWork Environment * Collaborative, mission-focused environment supporting federal and defense initiatives * Opportunity to work on cutting-edge data science and AI/ML technologies About the Organization Established in 2008, RiVidium, Inc. (dba TripleCyber) is a VA-Verified SDVOSB and an SBA-Certified 8(a) company. To prepare our clients for the future, RiVidium has balanced all parts of our organization to attract the finest employees in order to 'Strive to be the missing element defining tomorrow's technology'. RiVidium keeps pace and surpasses its competitors by meeting challenges of advancements in Logistics, Human Capital, Cyber, Intelligence \& Technology. EOE Statement We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. If you need a reasonable accommodation for any part of the employment process, please contact Human Resources (HR) at . This position is currently accepting applications.

Senior Data Scientist (f/m/d)

From $200/yr

Purpose of the Role Data sits at the heart of the company. This role ensures that Awin can fully leverage the data available across the group, enabling the development of advanced analytical and machine learning capabilities that support stronger commercial decision-making and enhance products used by client-facing teams. As a Senior Data Scientist, you will apply advanced statistical techniques, machine learning methods, and analytical approaches to solve complex business problems and deliver actionable insights that guide business strategy. Working across areas such as forecasting, recommendation systems, network intelligence, experimentation, and predictive modelling, you will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into practical technical solutions. You will be responsible for defining success metrics, establishing evaluation frameworks, and ensuring analytical solutions remain reliable, scalable, and aligned to business objectives. In this role, you will lead the development of end-to-end feature pipelines, models, and MVPs, balancing rapid experimentation with long-term sustainability. You will also provide technical leadership to other data scientists, contribute to best practices across the team, and help foster a collaborative, data-driven culture within the organisation. Key Responsibilities Lead the development and deployment of machine learning, forecasting, recommendation, and analytical solutions that create measurable business impact. Partner with stakeholders across Product, Commercial, Engineering, and Data teams to identify opportunities and translate business challenges into data-driven solutions. Design and implement robust evaluation frameworks, experiments, and success metrics to measure performance and business outcomes. Apply statistical modelling, machine learning, and advanced analytical techniques to solve complex business problems and generate actionable insights. Build scalable feature engineering, model development, and deployment workflows in collaboration with Data Engineering and Software Engineering teams. Drive rapid MVP development, validating ideas quickly while ensuring a path to sustainable production solutions. Define and promote best practices for model development, evaluation, monitoring, and governance. Mentor and support other data scientists, contributing to technical capability and knowledge sharing across the team. Communicate findings, recommendations, and technical concepts clearly to both technical and non-technical audiences. Contribute to the evolution of the Data Science roadmap, identifying new opportunities to apply advanced analytics and machine learning. Experience 5+ years of experience working as a Data Scientist, Machine Learning Engineer, Applied Scientist, or similar role. Proven experience delivering machine learning and analytical solutions from discovery through to deployment and business impact. Advanced proficiency in Python and relevant data science libraries, including NumPy, PySpark, Scikit-learn, TensorFlow, and/or PyTorch. Strong experience using Databricks, including Jobs, Asset Bundles, Delta Lake, and MLflow. Experience working with business stakeholders to define problems, scope solutions, and communicate outcomes effectively. Experience mentoring data scientists or providing technical leadership within a cross-functional team. Bachelor's degree or higher in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related quantitative discipline. Skills & Core Competencies Strong statistical, analytical, and problem-solving skills, with the ability to turn complex data into actionable business insights. Expertise in machine learning and predictive modelling, with experience delivering solutions in a production environment. Ability to evaluate and refine models using appropriate experimentation, performance metrics, and business outcomes. Strong stakeholder management and communication skills, capable of translating technical concepts for non-technical audiences. Ability to operate independently, navigate ambiguity, and prioritise work to maximise business impact. Experience mentoring and supporting the development of other data scientists. Collaborative mindset with the ability to work effectively across Product, Engineering, Commercial, and Data teams. Our Offer Flexi-Week : We prioritise your mental health and wellbeing by offering you a four-day Flexi-Week (with one lighter or completely disconnected day per week) at full pay, with no reduction to your annual holiday allowance. Flexi-office : We offer an international culture and flexibility through our hybrid/remote working scheme which is designed to foster a culture of mutual trust and working flexibility. Work Expense Contribution & Remote Working Furniture : You will receive a monthly allowance to cover part of your running costs, as well as a furniture package to support you in setting up a comfortable workspace when working from home. Health and Wellbeing : With our support and access to various initiatives and sports offers, you can focus on your mental and physical wellbeing. Development : We’ve built our extensive training suite, Awin Academy, to cover a wide range of skills that support your professional and personal growth, with trainings conveniently packaged to help your overall development. Appreciation : Thank and reward colleagues by sending them a voucher through our peer-to-peer recognition programme. We are hiring in multiple countries for this role. Additional benefits, including health and wellbeing offerings, will be discussed during the initial interview. Established in 2000, Awin is proud of our dynamic, social and inclusive culture. Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities. Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know. Awin is part of the Axel Springer group. Learn more at axelspringer.com/ en / , and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development. #LI-RS1 Find Jobs in United Kingdom on Arbeitnow

Senior Data Scientist

Overview Join a genuinely collaborative team whose diverse expertise delivers innovative solutions to complex engineering challenges worldwide. As an experienced data scientist, you will work across the data lifecycle in a fast-paced Agile environment, helping keep people, critical businesses and communication networks connected and secure. The role includes some client-site work, with flexible and remote working options, career development, training and a competitive reward package. The successful candidate will develop insightful, machine learning and data-driven solutions that support defensive cyber operations, mission data exploitation and operational decision-making within a secure national security environment. Working within Agile, multidisciplinary product teams, you will collaborate with Product Owners, Business Analysts, Data Engineers, Data Visualisers and cyber specialists to transform large-scale data into trusted, operationally useful data products. The role requires a strong foundation in data science together with practical experience operating within modern data platforms, MLOps environments and software engineering workflows. Your role Data Science \& Analytics * Design, develop and deploy statistical, insightful, AI and machine learning solutions to solve operational challenges. * Explore large and complex datasets to identify trends, patterns and actionable insights. * Apply appropriate machine learning, predictive analytics and data science techniques to real-world problems. * Develop and evaluate insightful models using robust performance and validation methodologies. * Communicate findings and recommendations clearly to both technical and non-technical stakeholders. * Contribute to development of innovative AI, machine learning and advanced analytics capabilities. Data Product Delivery * Ensure large datasets are managed appropriately across staging, modelling, analytics and presentation layers. * Contribute to the design and delivery of high-quality data products that support Cyber Capability requirements. * Work collaboratively with Product Owners and Business Analysts to translate user needs into insightful solutions. * Support data quality assurance, governance and reproducibility across insightful workflows. Platform \& Engineering * Develop and maintain production-quality Python and SQL code. * Use Git-based source control and branch management practices across multiple deployment environments. * Work with Spark and PySpark to process and analyse large-scale datasets. * Develop and manage machine learning workflows within an MLOps environment. * Use tooling such as MLflow, VS Code or JupyterHub for model development, experimentation and deployment. * Work with technologies to access, manage and analyse data at scale (e.g., Apache Iceberg and Trino). Delivery Excellence * Participate fully in Agile ceremonies including sprint planning, backlog refinement, demonstrations and retrospectives. * Produce high-quality technical documentation and knowledge-sharing materials. * Contribute to continuous improvement of data science and MLOps practices. About you Essential Skills \& Experience * Candidates should typically bring at least three years of relevant professional experience, although applicants with less experience and strong evidence of capability will also be considered. * Strong Python and SQL skills, with experience developing production-quality insightful, statistical, AI and machine-learning solutions. * Experience working with large, complex, structured and unstructured datasets, including data preparation, exploratory analysis, feature engineering and model validation. * Practical experience with Git, Agile delivery and collaborative software-development workflows. * Experience using distributed data-processing and MLOps tools such as Spark, PySpark, MLflow, JupyterHub or equivalent technologies. * Understanding of data-product lifecycles, data quality, governance, reproducibility and auditable insightful workflows. * Ability to translate operational or business needs into insightful solutions and communicate findings clearly to technical and non-technical stakeholders. * Effective collaboration within multidisciplinary teams, supported by strong problem-solving, documentation and critical-thinking skills. Desirable Skills \& Experience * Advanced statistical modelling, experimental design, forecasting, anomaly detection, model optimisation or explainability. * Deployment and operation of machine-learning models, including monitoring, drift detection and performance management. * Awareness of modern lakehouse or enterprise data platforms and technologies such as Trino and Apache Iceberg. * Experience in NLP, large language models, Generative AI, deep learning, graph analytics. * Responsible AI or retrieval-augmented generation. * Delivery of data products or decision-support capabilities in secure, governed or operational environments. * Stakeholder engagement, workshop facilitation and presentation of insightful findings to senior audiences. Personal Attributes * Curious, insightful and outcome-focused, with a commitment to technical excellence and continuous learning. * Collaborative and comfortable working through complexity and ambiguity. * Able to balance innovation with operational reliability, governance and security. * Motivated to deliver data products that create measurable user and mission impact. Qualifications * A degree in data science, computer science, software engineering, mathematics, statistics, physics, engineering or another quantitative discipline, or equivalent professional experience. * Evidence of relevant continuing professional development. * A postgraduate qualification or recognised professional certification in data science, AI, machine learning, data engineering, cloud platforms, Agile delivery, Responsible AI or security is advantageous but not essential. Rewards \& benefits Explore the rewards and benefits that help you thrive – at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. Rewards and benefits – Careers at AtkinsRéalis. About AtkinsRéalis We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance. We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage. #LI-ADST | #LI-UK | #SGCampaign

Senior Risk Data Scientist

From $60,000/yr

Senior Data Scientist London (Hybrid) | £60,000 to £90,000 This is an exciting opportunity to join a fast-growing fintech business where data science sits at the heart of commercial decision-making. You'll work on high-impact machine learning solutions that directly influence lending, risk, and business performance while collaborating with a highly skilled, data-driven team. The Company Our client is a high-growth financial technology organisation delivering innovative embedded finance solutions to businesses across multiple international markets. They have built a strong reputation for combining advanced technology with data-led decision-making. With ambitious growth plans and a collaborative culture, they offer an environment where data professionals can make a visible impact. The Role As a Senior Data Scientist, you will play a key role in developing machine learning and predictive analytics solutions that support critical business and risk decisions. Responsibilities include: * Analysing large and complex datasets to identify trends, patterns, and actionable insights. * Building and deploying machine learning models to support forecasting, risk assessment, fraud detection, and customer outcomes. * Developing predictive models that drive commercial and operational decision-making. * Creating dashboards and visualisations to communicate findings to technical and non-technical stakeholders. * Partnering with product, engineering, and commercial teams to embed data-driven solutions into products and processes. * Working closely with data engineering teams to optimise data infrastructure and analytical workflows. * Supporting best practices across machine learning operations and model lifecycle management. Your Skills \& Experience * Strong commercial experience as a Data Scientist within a data-rich environment. * Advanced Python and SQL skills for analysis, modelling, and data manipulation. * Hands-on experience developing and deploying machine learning models. * Strong understanding of predictive analytics and statistical modelling techniques. * Experience translating complex analytical findings into clear business recommendations. * Ability to work effectively with cross-functional stakeholders across technical and non-technical teams. * Experience working with financial, lending, payments, or transactional data is advantageous. * Strong problem-solving skills and the ability to navigate ambiguity in a fast-paced environment. How to Apply If you're interested in applying advanced machine learning and data science techniques within a fast-growing fintech environment, please submit your CV for immediate consideration.

Senior Data Scientist (Economist)

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. The Data & Science Org At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Data Scientists at Deliveroo report into our data science management team, and we have a highly active data science community, with guest lecturers, study groups, mentorship programmes, a robust technical review process, and plenty of opportunities to learn new things. Data Scientists can equally progress as technical leads (individual contributors) and as people managers. Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not. We celebrate difference and have a dedicated data science diversity committee. As an Economist at Deliveroo you will help scale our business and improve the experience for restaurants, riders, and eaters. Using experimental or observational data, you will get to help answer questions like: Which markets/cities should we enter next? How can we incentivise good rider behaviour? What is the business impact of exclusive deals we have with restaurants? Can the Delivery food market sustain multiple players? What are the trade-offs we face when choosing between growth and profitability? How should we decide between them? What is the optimum selection and variety of restaurants? What impact do online reviews have? How will a change in the user interface affect customer choice behaviour? The work you will do will have a direct, measurable impact on the bottom line of the company. Requirements: Masters Degree or PhD in Economics or Econometrics (preferred) Always curious and willing to learn new skills A problem solver with a deep analytical mindset Ability to think creatively and insightfully about business-relevant economic problems A critical thinker with very strong attention to detail Proficiency with analytical tools like R/Python and familiarity with SQL Ideally industry experience since the completion of your academic career Excellent people skills — you'll be meeting with stakeholders to translate business needs into economic problems At Deliveroo these are just some of the tough problems we are solving - and there is no challenge that cannot be yours. The scope for growth and personal impact is enormous. Why Deliveroo Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. Workplace & Benefits At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness . Find Jobs in United Kingdom on Arbeitnow

Senior Data Scientist (Imaging)

About Relation Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. The opportunity Relation is offering an outstanding opportunity for a Senior Data Scientist to help build the next generation of generative and predictive models of cellular behaviour, with a focus on high-content imaging. Your work will be central to our mission to understand and control cellular decision-making, enabling novel therapeutic strategies grounded in generative models. You'll be joining a team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise, and a culture that embraces modern ML tooling, including agentic workflows, to accelerate research iteration. The role exists to drive imaging data science: curate training-ready imaging datasets, design evaluation that distinguishes biological signal from technical artefact, interpret foundation-model behaviour on cellular imaging, and provide the wet lab interface for the imaging assay teams that generate the data. Day to day, you will Curate training-ready imaging datasets across cell painting and brightfield assays. Drive evaluation design for imaging modalities in close partnership with ML and data scientists. Surface what models learn about cellular morphology, identify failure modes, and feed findings back into modelling decisions. Partner with wet lab assay teams from plate design through to data delivery, ensuring imaging assays remain analytically tractable and yield valuable data. Contribute to multi-modal evaluation: link imaging readouts to single-cell and perturbation data. Communicate methodology and findings clearly and rigorously across the computational team. Track developments in foundation models for biological imaging, and bring relevant advances into our work. Professionally, you will have A PhD (or equivalent industry experience) in computational biology, bioinformatics, computer vision, biomedical engineering, or a closely related discipline. Strong fluency with high-content imaging modalities, including cell painting and brightfield: knowledge of what good data looks like, recognition of common artefacts, and judgement on biological relevance. Working knowledge of deep learning approaches to imaging, sufficient to reason about model behaviour and design appropriate evaluation. Experience designing or contributing to evaluation frameworks for ML models, ideally with imaging or comparable scientific image data. Strong Python data-science stack (numpy, pandas / polars, scikit-learn, PyTorch). Familiarity with terabyte-scale imaging data and standard scientific formats. Strong biological grounding and the ability to partner effectively with wet lab scientists. Bonus experience: familiarity with classical bioimage tooling (CellProfiler, scikit-image, ImageJ / Fiji) for QC reference; large public cell painting datasets; publication record in relevant venues. Personally, you Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. Take ownership of your work , proactively seek opportunities to contribute, and enable others to do their best work. Communicate openly and directly , give and receive feedback constructively, and handle challenging conversations with respect. Actively seek out diverse perspectives , build strong working relationships, and contribute to shared goals across teams. Embrace challenges with openness and resilience , set high standards for yourself, and strive to deliver meaningful outcomes. Working Style & Culture at Relation At Relation, we operate in a matrixed, interdisciplinary environment , where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! Recruitment Agencies Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. Find Jobs in United Kingdom on Arbeitnow

Senior Data Scientist

From $201/yr

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here . We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. About the Team Bringing medicine to patients is complex, expensive and high-risk. Faculty’s Life Science’s team is concentrated on building AI solutions which optimise the research and commercialisation of life-changing therapies. We partner with major pharma firms, academic research centres and MedTech start-ups to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all. About the role As a Senior Data Scientist, you will lead high-impact AI projects and shape the technical direction of bespoke solutions. This role requires hands-on technical excellence combined with crucial team leadership. You will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigor across projects all while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI. What you'll be doing: Leading project teams that deliver bespoke algorithms and high-stakes AI solutions to clients across the sector. Conceiving the core data science approach and designing the associated robust software architecture for new engagements. Mentoring a small number of data scientists and supporting the professional growth of technical team members on projects. Partnering with commercial teams to build client relationships and shape project scope for technical feasibility. Contributing to Faculty’s thought leadership and reputation through delivering courses, public speaking, or open-source projects. Ensuring best practices are followed throughout the project lifecycle to guarantee high-quality, impactful delivery. Who we're looking for: You possess senior experience in a professional data science position or a quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating a proficiency across the standard data science toolkit, including the ability to develop new, innovative algorithms. You bring a leadership mindset, focused on growing the technical capabilities of the team and nurturing a collaborative culture. You exhibit commercial awareness, with experience in client-facing work and the ability to translate business problems into a rigorous mathematical framework. You are skilled in project planning, assessing technical feasibility, estimating delivery timelines, and leading a team to deliver high-quality work on a strict schedule. Our Interview Process Talent Team Screen (30 minutes) Take Home Technical Assessment Technical Interview (90 minutes) Commercial Interview (60 minutes) Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Data Scientist, Senior

From $99,000/yr

Job Number: R0251863 Data Scientist, Senior The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence (AI). In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data. On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait. You Have: * 7+ years of experience with data, financial, or business operations * Experience with data analysis or data operations * Knowledge of statistical and general-purpose programming languages for data analysis, including Python, SQL, or R * Knowledge of predictive data models, quantitative analyses, or visualization of targeted data sources * Knowledge of text mining or machine learning techniques * Ability to conduct data exploration, data cleaning, data analysis, data visualization, data mining or developing data dashboards, data management tools or data modeling tools * Ability to obtain a Secret clearance * Bachelor’s degree Nice If You Have: * 2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL * 2+ years of experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL * 2+ years of experience with machine learning, AI, or NLP * Experience with Palantir Foundry * Experience with visualization packages, including Plotly, Seaborn, or ggplot2 * Experience with Business Intelligence (BI) or data visualization tools such as Power BI, Tableau, or Qlik * TS/SCI clearance * Bachelor's degree in an Analytical or Engineering field, such as CS, Data Science, Computer Engineering, or Systems Engineering preferred; Master's degree in an Analytical or Engineering field, such as CS, Data Science, Business Analytics, Computer Engineering, or Systems Engineering a plus Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. * Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. * Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. * Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Senior Data Scientist (Machine Learning Focus)

About the Role Our client, a leading innovator in financial technology, is seeking a highly skilled Senior Data Scientist with a strong specialization in Machine Learning to join their growing team in Mossel Bay, Western Cape . This role offers a unique opportunity to leverage vast datasets to develop predictive models, drive business insights, and create cutting-edge data-driven products. You will work at the forefront of data science, applying advanced statistical and machine learning techniq…

Senior Data Scientist - Machine Learning Specialist

About the Role Our client, a pioneer in data-driven insights and artificial intelligence, is actively seeking a Senior Data Scientist with a specialization in Machine Learning. This exciting opportunity is based in Benoni, Gauteng, where you will lead the development and deployment of sophisticated machine learning models that drive business innovation. You will be instrumental in tackling complex analytical challenges, extracting valuable insights from vast datasets, and building predictive mo…

Senior Data Scientist, Online

From $195/yr

Req195877 Position Purpose The Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. Key Responsibilities * 35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation * 30% Project Management \& Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team * 20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage * 15% Technical Exploration \& Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented Direct Manager/Direct Reports * This position reports to manager or above * This position has 0 Direct Reports Travel Requirements * Typically requires overnight travel less than 10% of the time. Physical Requirements * Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions * Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications * Must be eighteen years of age or older. * Must be legally permitted to work in the United States. Preferred Qualifications * PhD in a quantitative field (Computer Science, Math, Statistics, etc.) * 6+ years of experience in business intelligence and analytics * Working knowledge of Microsoft Excel and Power Point * Proficient in a modern scripting language (preferably Python) * Proficient running queries against data (preferably with Google BigQuery or SQL) * Proficient with data visualization software (preferably Tableau) * Mastery utilizing statistical techniques to identify key insights that help solve business problems * Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP * Demonstrated proficiency in predictive modeling, data mining and data analysis Minimum Education * The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education * No additional education Minimum Years Of Work Experience * 5 Preferred Years Of Work Experience * No additional years of experience Minimum Leadership Experience * None Preferred Leadership Experience * None Certifications * None Competencies * Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs * Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals * Collaborates: Building partnerships and working collaboratively with others to meet shared objectives * Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences * Cultivates Innovation: Creating new and better ways for the organization to be successful * Customer Focus: Building strong customer relationships and delivering customer-centric solutions * Develops Talent: Developing people to meet both their career goals and the organization's goals * Directs Work: Provides direction, delegating and removing obstacles to get work done * Drives Results: Consistently achieving results, even under tough circumstances * Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder * Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement * Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels