Data Scientist Ai Jobs

39 open positions found · Salary range: $140 - $11,000,000

View Blockchain Data Wizard, Analyst or Scientist
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Blockchain Data Wizard, Analyst or Scientist

AlliumNew York, New York, USA; Singapore, Singapore; San Francisco, California, USA; USAonsite

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.

Aug 1, 2022via universal intelligenceApply ›
View Health Data Scientist (AI & Clinical Data) (26-003)
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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.

8 months agovia universal intelligenceApply ›
View Data Scientist - Risk and Trading (Daily Fantasy Sports)
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Data Scientist - Risk and Trading (Daily Fantasy Sports)

The SleeperRemote, USremote

$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

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View Trainee Data Engineer / Data Scientist (m/w/d)
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Trainee Data Engineer / Data Scientist (m/w/d)

ISR Information Products AGHamburg, HH, DEhybrid

VIELE GUTE GRÜNDE Individuelle Entwicklung: Die ISR-Akademie unterstützt dich bei deiner kontinuierlichen und passgenauen Weiterentwicklung in technischen, fachlichen sowie persönlichen Bereichen. Maximale Flexibilität: Flexible Arbeitszeiten und -orte, bis zu 50 Urlaubstage sowie agiles und eigenständiges Arbeiten – bei uns gilt Freiraum statt Einschränkung. Teamzusammenhalt: Bei uns zählt Miteinander statt Einzelkämpfer-Mentalität. Jede:r soll sich bei uns individuell einbringen und mit der Unternehmenskultur identifizieren können. Darüber hinaus bieten wir dir: Hansefit, flexibles Urlaubsmodell, betriebliche Altersvorsorge, JobRad, Leasing von IT-Devices, Gesundheitsförderung und Corporate Benefits. WAS DICH ERWARTET Dein individuelles Traineeprogramm besteht aus einer theoretischen Ausbildung (Themen-, Projektmanagement- und überfachliche Schulungen) und einem praxisnahen Training-on-the-Job durch die aktive Mitarbeit in innovativen Kundenprojekten – sowohl in der technischen Umsetzung als auch in der Beratung. Du unterstützt bei der Konzeption und Realisierung von innovativen Projekten. Dich erwartet ein richtig starkes Team und ein Mentoring mit regelmäßigen Feedbackgesprächen durch unsere erfahrenen ISR-Berater:innen. Du arbeitest an Analytics- und BI-Konzepten mit Tools wie SAP Analytics Cloud (SAC) und Power BI, realisierst moderne Data-Warehouse-Architekturen mit SAP BW, HANA-nativen Lösungen und Datasphere sowie Data-Lake-Lösungen mit Plattformen wie Azure, Snowflake und Databricks. Darüber hinaus implementierst du hybride und Multicloud-Umgebungen basierend auf SAP BTP und Azure Cloud. Innovative Data-Science-Methoden und Werkzeuge wie Python, R und SQL kommen dabei auch zum Einsatz. Einarbeitung, Teamevent oder Kundentermin - der Reiseanteil hängt von der Projekt- und Teamsituation ab. DAS BRINGST DU MIT Du hast dein Studium der Wirtschaftsinformatik, Informatik oder eine vergleichbare Ausbildung erfolgreich abgeschlossen und konntest idealerweise schon erste praktische Erfahrungen in der Beratungsbranche und/oder im Bereich Business Intelligence, Analytics und Data Science sammeln. Das Themenfeld Business Intelligence mit seinen verschiedenen Facetten (Solution Design, Data-Engineering and -Exploration) begeistert dich und neben deiner technischen Affinität hast du bereits gute Kenntnisse in mindestens einer Programmiersprache. Als Berater:in bist du reisebereit und schätzt den direkten Austausch vor Ort. Sehr gute Deutschkenntnisse (mindestens C1) und gute Englischkenntnisse (mindestens B2) bringst du mit. ÜBER ISR Die ISR Information Products AG agiert seit 1993 als IT-Berater für Data Analytics und Dokumentenlogistik und fokussiert sich somit auf das Datenmanagement und die Automatisierung von Prozessen. Ganzheitlich und im Rahmen eines umfassenden Enterprise Information Managements (EIM) begleiten 270 IT-Spezialist:innen von der strategischen IT-Beratung über konkrete Implementierungen und Lösungen bis hin zum IT-Betrieb. Als Teil der CENIT EIM-Gruppe und verbunden mit starken Technologiepartnern wie IBM, Microsoft und SAP machen wir unsere Geschäftspartner fit für morgen. Daneben bietet ISR auch eigene Softwarelösungen für Dokumentenlogistik, so z.B. digitale Aktenlösungen oder eine SaaS-Lösung für Intelligent Document Processing. DEIN TEAM Du hast Freude an Innovationen, spannenden Inhalten und kollegialem Teamspirit? Mit unseren Berater:innen wächst du mit deinen Aufgaben und lernst von unseren Expert:innen. Gemeinsam beraten wir unsere deutsch- und englischsprachigen Kunden bei ihren Herausforderungen im Umfeld von Business Intelligence, Planung, Advanced Analytics \& Data Science. Wir verbinden höchste Beratungskompetenz mit technischer Expertise. Dabei konzipieren und implementieren wir maßgeschneiderte Lösungen auf Basis von SAP- und Non-SAP-Software, On-Premise- und hybriden Cloud-Architekturen. Du profitierst von unseren persönlichen Kontakten zu SAP als SAP Silber Partner. Wenn du gern tief in die Technik eintauchst und Freude an der Beratung in abwechslungsreichen Kundenprojekten hast, dann bist du bei uns genau richtig! Art der Stelle: Vollzeit, Festanstellung Leistungen: Betriebliche Altersvorsorge Betriebliche Weiterbildung Erfolgsbeteiligung Firmenevents Firmenhandy Flexible Arbeitszeiten Gleitzeit Homeoffice-Möglichkeit Kostenlose Getränke Kostenloser Parkplatz Zusätzliche Urlaubstage Sprache: verhandlungssicher Deutsch (min. C1) (Erforderlich) Reisebereitschaft: 25 % (Erforderlich) Arbeitsort: Zum Teil im Homeoffice in 20457 Hamburg

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View Principal Data Scientist, Agentic AI Professional Services
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Principal Data Scientist, Agentic AI Professional Services

Amazon Web ServicesNew York, NY, US

DESCRIPTION --------------- AWS is seeking an exceptional Principal Data Scientist to join our Agentic AI ProServe Experience (APEX) team. This role calls for an individual ready to tackle large-scale agentic AI challenges and drive innovative ML/AI practices that transform professional services delivery and address real-world customer needs. Reporting directly to the leader of APEX, this position is essential for revolutionizing AWS Professional Services' delivery capabilities through advanced agent-based AI systems. In addition to building ProServe Agents, you will driving their adoption across the ProServe builder community, enabling transformative customer engagements and partner enablement through AWS tools and services such as Kiro, AWS Transform, Strands, Bedrock, and Agentcore. The ideal candidate will possess extensive experience in agentic AI systems, multi-agent architectures, and complex data science environments, developing solutions that advance the state-of-the-art in agent-based professional services delivery. Proficiency with Machine Learning, Large Language Models, reinforcement learning, and advanced analytics techniques is essential, along with the ability to convey these technical concepts in simple terms to diverse stakeholders. The role demands both deep technical expertise and exceptional communication skills to drive adoption across the ProServe organization and partner ecosystem. Key job responsibilities Scientific Leadership Define and drive the scientific vision and roadmap for ProServe Agents and the agentic AI professional services portfolio Lead research and development initiatives to advance the state-of-the-art in agent-based AI systems for professional services workflows Collaborate with senior scientists across AWS to pioneer novel approaches to agent learning, reasoning, and interaction Publish innovative research at top-tier conferences and influence the broader scientific community Evaluate emerging research and identify opportunities to integrate techniques into ProServe Agent architecture Technical Excellence Architect complex multi-agent systems that can effectively understand, reason about, and execute professional services workflows at enterprise scale Lead the integration of Gen AI and ML-based methods across ProServe delivery practices, spearheading AI-driven agent development and adoption initiatives Establish rigorous evaluation frameworks and metrics for measuring agent effectiveness, safety, and business impact Develop production-ready agentic solutions leveraging AWS tools including Kiro, AWS Transform, Strands, Bedrock, and Bedrock AgentCore Customer \& Business Impact Translate complex technical concepts into clear business value propositions for ProServe builders, customers, and partners Lead high-visibility technical delivery for strategic customers, demonstrating ProServe Agent capabilities Drive adoption of ProServe Agents across the AWS Professional Services builder community, transforming delivery methodologies Enable AWS partners on agentic delivery mechanisms and best practices Analyze complex enterprise problems and design AI agent solutions that deliver measurable business outcomes Collaborate effectively with ProServe delivery teams, product, engineering, and design teams to create and launch innovative agent-based solutions Communicate complex agentic AI concepts clearly to diverse audiences across ProServe, customers, and partners Leadership \& Mentorship Provide thought leadership and technical direction on agentic AI strategies and their applications in professional services Drive innovation by sharing new technical solutions and product ideas across AWS teams Mentor and guide the data science, ML engineering, and ProServe builder communities Foster collaboration with key stakeholders to enhance the AWS ProServe experience BASIC QUALIFICATIONS ------------------------ Master's degree in Math, Statistics, Computer Science, or related Science field, or experience in data science, machine learning or data mining Experience building machine learning models or developing algorithms for business application PREFERRED QUALIFICATIONS ---------------------------- 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience 4+ years of practical machine learning experience 2+ years of working with or evaluating AI systems experience Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications Have publications at top-tier peer-reviewed conferences or journals Experience with AWS or cloud technologies Experience in technical leadership of development, testing, and implementation of large-scale, complex technology projects Experience driving collaborative projects from conception to delivery, or experience in development or technical support * Experience creating and delivering written and oral communications for technical and non-technical audiences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life \& AD\&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, CA, Mountain View - 217,800.00 - 294,700.00 USD annually USA, CA, San Diego - 189,400.00 - 256,200.00 USD annually USA, GA, Atlanta - 189,400.00 - 256,200.00 USD annually USA, MA, Boston - 189,400.00 - 256,200.00 USD annually USA, NY, New York - 208,300.00 - 281,800.00 USD annually USA, TX, Austin - 189,400.00 - 256,200.00 USD annually USA, TX, Dallas - 189,400.00 - 256,200.00 USD annually USA, VA, Arlington - 189,400.00 - 256,200.00 USD annually USA, WA, Seattle - 189,400.00 - 256,200.00 USD annually

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View Senior Data Scientists, Conversational AI
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Senior Data Scientists, Conversational AI

WalmartSunnyvale, CA, US

Position Summary... ----------------------- What you'll do... --------------------- As part of the Emerging Tech team, this role is centered on deep technical execution and advanced modeling. As a Senior Data Scientist, you’ll focus on developing and experimenting with deep learning and multimodal generative models, working closely with engineers to bring research-grade ideas into real production systems. Immigration Sponsorship is not available in this role About Emerging Tech: Our Emerging Tech team drives Walmart’s AI transformation by building intelligent systems that influence how millions shop every day across our global retail ecosystem. We develop state-of-the-art generative and conversational AI that powers more proactive, connected, and personalized experiences. At this scale, every innovation you create not only reaches millions of customers worldwide but also comes to life in the very communities where you live, work, and shop. As aSenior DataScientistyou will: Contribute as a hands-on builder focused on model development and rapid experimentation. Execute complex deep learning and multimodal modeling work with a production mindset. Partner closely with engineering to deploy, monitor, and iterate on models in production. Influence adjacent teams through strong technical judgment and collaboration. Thrive in fastmoving, ambiguous spaces where learning fast and shipping value matters. Experience we are looking for: 3–6+ years in data science, deep learning, or applied ML. Proven, hands-on expertise with modern deep learning frameworks. Experience training, finetuning, and evaluating large models. Ability to work with large datasets and curate domain specific training data. Track record of close collaboration with engineering partners. Strong analytical skills and clear, concise communication. Research mindset with real world impact; publications are a plus, not a requirement. About Walmart Global Tech: Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Walmart's culture is a competitive advantage, and its fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates. Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey. Benefits: Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Equal Opportunity Employer: Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. Your Career Journey at Walmart At Walmart, we want to make sure your experience connecting with us is seamless and straightforward. Here’s what to expect when interacting with us as recruiters: We’ll reach out via verified LinkedIn profiles or emails ending in "@walmart.com.” or “@samsclub.com”. All job opportunities and applications are hosted on our official careers site: http://careers.walmart.com. There is no cost or payment required to apply or be considered for a position. If you have any doubts about a communication, feel free to visit our careers page to verify authenticity. Thank you for exploring opportunities at Walmart! At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart. Sunnyvale, California US-11656: The annual salary range for this position is $117,000.00 - $234,000.00 Bellevue, Washington US-11663: The annual salary range for this position is $108,000.00 - $216,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : Stock ㅤ ㅤ ㅤ ㅤ ‎ Minimum Qualifications... ----------------------------- Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.Preferred Qualifications... ------------------------------- Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location... ----------------------- 1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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View Data Scientist (AI)
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Data Scientist (AI)

Rayonic Inc.Raleigh, NC, USonsite

--- THIS IS NOT OPEN FOR STAFFING PARTNERS ---- -- IF YOU ARE NOT LCOAL TO RALEIGH, NC \& CANT BE ONSITE 4 DAYS A WEEK, PLEASE DO NOT APPLY - YOU WILL BE BLOCKED -- As an AI Data Scientist, you will design, build, and deploy advanced analytics and AI solutions impacting USPS operations. This is a hands-on role with strong emphasis on applied GenAI/NLP and Computer Vision, built and scaled in Azure Databricks. Responsibilities Collect, cleanse, and prepare data for analysis and modeling Perform exploratory data analysis and develop ML/statistical models Design and implement GenAI/NLP solutions using modern LLM approaches (RAG, fine-tuning, evaluation) Build Computer Vision models for real-world use cases (fraud-type applications, OCR, classification) Build and maintain data pipelines/workflows in Azure Databricks for experimentation and production Develop prototypes, dashboards, and executive-ready insights and reporting Partner with stakeholders to translate needs into data products and measurable outcomes Required Qualifications 5–10 years hands-on data science / ML experience Strong Python + applied ML experience Hands-on Azure Databricks experience GenAI/NLP experience (Hugging Face ecosystem, transformer models; LLaMA exposure a plus) Computer Vision experience Bachelor’s degree required (MS/PhD preferred) Work Authorization / Residency Requirement USC / GC / EAD eligible * If not USC: must have resided in the U.S. for the last 5 years and cannot have traveled outside the U.S. for more than 6 months total during that period Job Type: Contract Pay: $80.00 - $85.00 per hour Expected hours: 40 per week Work Location: In person

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View Junior Data Scientist - AI Practice Team
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Junior Data Scientist - AI Practice Team

American Bureau of Shipping (ABS)Warrington, ENG, GBremote

ABS is seeking an exceptional Junior Data Scientist to join us full-time on our Artificial Intelligence (AI) Practice Team, Europe. In this role, you will support AI consulting engagements focused on policy, data, and document-centric solutions by preparing, analyzing, and modeling client data as part of a multidisciplinary delivery team. Working closely with senior data scientists, consultants, and domain experts, you will help turn real-world datasets into actionable insights, features, and reusable assets that underpin our AI solutions. Based in Warrington or London, England with some remote flexibility, you will gain exposure to modern AI, data tooling, and industrial use cases while building robust, production-aware analytics skills. What You Will Do: Support AI consulting engagements by cleaning, structuring, and analyzing client data (tabular, time-series, and document-based) to enable modeling and insight generation. Contribute to development, testing, and documentation of machine learning models, analytics pipelines, and proof-of-concept solutions under guidance from senior data scientists. Work with our document and data services to extract, transform, and enrich information from reports, PDFs, logs, and other unstructured sources using NLP and related techniques. Build and maintain basic dashboards, reports, and visualizations (e.g., in Python, Power BI, or similar tools) to communicate findings to consultants and client stakeholders. Collaborate with consultants and domain experts to translate business questions into analytical tasks, validate results, and refine approaches based on feedback. Help maintain clean, reproducible project assets (code, notebooks, datasets, documentation) using modern collaboration and version control tools. What You Will Need: Education and Experience Bachelor’s degree in a STEM discipline (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics) or related field, or equivalent practical experience. 2+ years of combined experience through projects, internships, or professional roles applying data science/ML methods and tools. Practical experience applying core techniques in data preprocessing, modeling, and evaluation using Python, SQL, and common ML libraries. Exposure to AI/ML or analytics projects in academic, research, or professional environments, ideally with real-world or messy datasets. Familiarity with cloud-based and modern data platforms (e.g., Azure, AWS, GCP, Databricks) and BI tools is a plus but not mandatory. Knowledge, Skills, and Abilities Strong foundation in data science/ML concepts and statistics, with hands-on experience in Python (e.g., pandas, scikit-learn) and working with SQL-based data sources. Ability to clean, structure, and analyze real-world datasets, including unstructured or semi-structured data (e.g., documents, logs, text). Comfortable working with Jupyter notebooks and Git-based workflows for reproducible and version-controlled analysis. Clear, structured communication skills, including the ability to explain analytical work and findings to non-technical stakeholders in a concise, business-relevant way. Collaborative mindset and willingness to learn, taking feedback from senior team members and adapting quickly to new tools, methods, and domains. Organized, detail-oriented working style, with the ability to manage tasks across multiple projects and meet deadlines reliably. Must hold a valid right to work status in the UK. Nice to Have Experience applying ML/NLP to real datasets (e.g., classification, forecasting, document information extraction, OCR, LLMs, or search/retrieval systems). Exposure to cloud platforms (Azure/AWS/GCP), ML tooling (e.g., Databricks, MLflow, Docker), and BI/visualization tools (Power BI, Tableau). * Any exposure to industrial, maritime, or asset-intensive domains, or to consulting/client-facing environments. Reporting Relationships: Thiis role reports to the Senior Data Scientist and does not include direct reports.

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View Senior Data Scientist - AI Practice Team
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Senior Data Scientist - AI Practice Team

American Bureau of Shipping (ABS)Warrington, ENG, GBremote

We are seeking an exceptional Senior Data Scientist to join us full-time in our Artificial Intelligence (AI) Practice Team, Europe. In this role, you will lead the design and delivery of analytics and machine learning solutions across policy, data, and document-centric AI engagements, working with complex real-world datasets from industrial and asset-intensive domains. You will partner closely with consultants, domain experts, and junior data scientists to turn client data into robust models, reusable assets, and decision-ready insights. Based in Warrington or London England with some remote flexibility, you will help shape our technical approaches, uplift data science practices, and ensure solutions are production-aware and business-relevant. What You Will Do: Lead the preparation, exploration, and analysis of client data (tabular, time-series, and document-based) to enable robust modeling, feature engineering, and insight generation. Design, implement, and validate machine learning models and analytics pipelines, including problem framing, model selection, evaluation, and iteration for real-world performance. Drive advanced use of NLP and document understanding techniques to extract, transform, and enrich information from reports, PDFs, logs, and other unstructured sources. Build and maintain clear, impactful dashboards, reports, and visualizations (e.g., in Python, Power BI, or similar tools) to communicate findings to consultants and client stakeholders. Collaborate with consultants and domain experts to translate business problems into analytical solutions, articulate trade-offs, and present recommendations to technical and non-technical audiences. Ensure technical quality, reproducibility, and governance by establishing good practices for code, documentation, data management, and model tracking across projects. Mentor and support junior data scientists, providing guidance on methods, tooling, and best practices, and reviewing their work for quality and consistency. What You Will Need: Education and Experience Bachelor’s degree in a STEM discipline (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics) or related field; Master’s degree preferred or equivalent experience. 5+ years of experience applying data science and machine learning in professional settings, including end-to-end delivery of analytics/ML solutions. Proven track record working with real-world, messy datasets (including unstructured/document data) across the full lifecycle: data preparation, modeling, evaluation, and deployment handoff. Experience leading or owning significant workstreams within AI/ML or analytics projects, ideally in consulting, industrial, or asset-intensive environments. Practical experience working with cloud-based and modern data platforms (e.g., Azure, AWS, GCP, Databricks) and integrating with enterprise data sources and workflows. Knowledge, Skills, and Abilities Deep proficiency in Python for data science (pandas, scikit-learn, and related libraries) and strong SQL skills for working with relational and analytical data stores. Strong grounding in statistics, machine learning, and model evaluation, including supervised/unsupervised methods, feature engineering, and performance diagnostics. Hands-on experience with NLP and document understanding (e.g., text preprocessing, embeddings, classification, information extraction, transformers/LLMs) applied to real datasets. Ability to design and implement robust, maintainable analytics and ML pipelines, using notebooks and production-ready code with Git-based version control. Familiarity with modern data and ML tooling (e.g., Databricks, MLflow, Docker, CI/CD for data/ML) and good practices for experiment tracking and reproducibility. Proficiency with BI/visualization tools (e.g., Power BI, Tableau) and data storytelling skills to communicate complex analytical results to non-technical stakeholders. Excellent communication and stakeholder engagement skills, with the ability to frame analytical approaches, explain trade-offs, and align solutions with business objectives. Proven ability to work across multiple projects, manage priorities, and operate in a fast-moving, consulting-style environment, while mentoring junior team members. Nice to have: exposure to industrial, maritime, or asset-intensive domains, or prior experience in AI consulting or client-facing roles. Must hold a valid right to work status in the UK. Reporting Relationships This role reports to the Project Manager and does not include direct reports.

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View Senior Data Scientist, Generative AI
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Senior Data Scientist, Generative AI

LuminateNew York, NY, USremote

$225,000 - $240,000/yr

Are you an entertainment news junkie? Do you thrill your friends with tales torn from famous and obscure sources about artists and performers of every ilk? Are you a bit of a data-head who's a little obsessed with entertainment charts, ranks, lists and stats? Do you knowingly smile to yourself as you watch a story's blow-up path, from the feeds to the web to TV, all fueled by the public's fascination with all things entertainment? And do you have an eye for fact-based stories and an understanding of the role data plays in their telling? If so, we'd like to talk! Luminate is the preeminent entertainment data and insights company, unlocking access to the most essential, objective, and trustworthy data compiled from thousands of verified data sources. The beneficiary of industry consolidation, Luminate now houses what was once Nielsen Music, BDS Radio, SoundScan, Music Connect, Alpha Data and Variety Business Intelligence. The Team: We are looking for a Senior Data Scientist, Generative AI to join our Data team in New York City, NY. Your role will include a combination of developing models and tools to be deployed into production systems and defining frameworks to measure and improve data quality standards. This is an IC position but will require you to collaborate with the Data team as well as with various technical and nontechnical team across our organization. Your work will directly impact the future of our Music and Film \& TV products. Responsibilities: Design, build, and deploy robust, scalable machine learning models that power core product features. You will write production-quality code and be responsible for the end-to-end implementation of AI/ML systems. Take full ownership of the model development process, including data sourcing and feature engineering, model training and validation, testing, and deployment. You will design and implement monitoring, logging, and alerting to ensure model performance, reliability, and health in a live environment. Collaborate closely with Product, Engineering, and Design teams to define the art of the possible. You'll stay on the absolute bleeding edge of AI, evaluating new tools, papers, and techniques to keep our products ahead of the curve. Champion and implement best practices for AI/MLOps, including model versioning, automated training pipelines, and CI/CD for machine learning, to improve the velocity and quality of our AI development. Qualifications: An advanced degree (MS or Ph.D.) in Computer Science, Engineering, Statistics, or a related field, or equivalent practical experience. 5+ years of professional experience focused on building and shipping production-level AI/ML systems. Have a deep, foundational knowledge of how LLMs work. Can speak confidently about transformer architecture, attention mechanisms, and the principles behind RAG, fine-tuning, and advanced prompt engineering. Expert-level proficiency in Python and its ecosystem and deep experience with AI/ML frameworks (such as LangChain, ai, and PyTorch). Hands-on experience deploying and managing models in a major cloud environment (AWS preferred), coupled with deep familiarity with modern data platforms like Snowflake. Possess an intuitive feel for writing elegant, efficient, and effective code. You thrive in a fast-paced, experimental environment where you can quickly bring ideas to life. Preferred Qualifications: Experience building autonomous AI agents or multi-agent systems. Contributions to major open-source AI projects. Knowledge of model optimization techniques like quantization or distillation. Experience with multi-modal models (text, image, audio). What makes us shine: Our People! We are music fans and gamers, film buffs and social scrollers, technologists and subject matter experts, scientists and developers and analysts who take immense pleasure in making sense of the data that drives entertainment, so everyone can get paid and more art can be made. That's why we do what we do. 100% paid for Medical / Dental / Vision Insurance, 401K with matching, and Employee Assistance Program (EAP) Hybrid Work - 4 In-Office Working days (Monday, Tuesdays, Wednesdays, Thursdays) with flexibility to WFH when needed Flexible Time Away / Time Off - You are empowered to do the things you enjoy outside of work too Community! - Participate, create, or develop our employee clubs, affinity groups and 2% Volunteer initiative which allows you to take paid time off to volunteer within your community Family Planning Assistance and Parental leave for all partners LGBTQ+ medical benefits and more! After submitting your application, you will receive a verification email. Please complete this verification to proceed with submitting your resume. For candidates based in NYC: A good faith estimate of the salary range is $225k - $240k + bonus upon hire. We consider your skills and experience, what similar jobs pay at companies of our size, and ensure fair pay among colleagues. Final base salary offer amounts are determined by factors including your experience, skills, and expertise. In addition we are proud to offer additional perks and benefits that contribute and complete our total compensation package. Luminate reserves the right to change our compensation bands at any time. Additionally, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. PMC is committed to the health and wellness of our employees. As part of our company-wide rollout of PMC's paid healthcare plan, for this role the company pays 100% of the monthly health, dental and vision plan premiums for the employee and their family. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. More About Us: Luminate has incredible 30 year history that has made us who we are today. We power the Billboard Charts, but we also inform the entire music industry with exclusive research, data and insights. We serve the television and film industry, providing deep meta-data on every major production and title. Luminate is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. #LI-Hybrid

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View Applied AI Data Scientist
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Applied AI Data Scientist

CapcoUS - Dallas

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View Senior Data Scientist - Generative AI
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Senior Data Scientist - Generative AI

RobloxSan Mateo, CA, United States

$220,300 - $262,380/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

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View AI Research Scientist – Datadog AI Research (DAIR)
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AI Research Scientist – Datadog AI Research (DAIR)

DatadogNew York, New York, USA

$140,000 - $400,000/yr

As a research scientist on our team, you will partner with research engineers, working on fundamental research problems and collaborating with Datadog’s Product and Engineering teams to help translate research advances into tangible benefits for our customers. <p data-prosemirror-content-type="node" data-prosemirror-node-name="paragraph" data-prosemirror-no

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View Senior Data Scientist - AI Tooling
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Senior Data Scientist - AI Tooling

IntercomBerlin, Germany

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides

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View Principal Data Scientist, Agentic AI Professional Services
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Principal Data Scientist, Agentic AI Professional Services

Amazon Web ServicesAustin, TX, US

DESCRIPTION --------------- AWS is seeking an exceptional Principal Data Scientist to join our Agentic AI ProServe Experience (APEX) team. This role calls for an individual ready to tackle large-scale agentic AI challenges and drive innovative ML/AI practices that transform professional services delivery and address real-world customer needs. Reporting directly to the leader of APEX, this position is essential for revolutionizing AWS Professional Services' delivery capabilities through advanced agent-based AI systems. In addition to building ProServe Agents, you will driving their adoption across the ProServe builder community, enabling transformative customer engagements and partner enablement through AWS tools and services such as Kiro, AWS Transform, Strands, Bedrock, and Agentcore. The ideal candidate will possess extensive experience in agentic AI systems, multi-agent architectures, and complex data science environments, developing solutions that advance the state-of-the-art in agent-based professional services delivery. Proficiency with Machine Learning, Large Language Models, reinforcement learning, and advanced analytics techniques is essential, along with the ability to convey these technical concepts in simple terms to diverse stakeholders. The role demands both deep technical expertise and exceptional communication skills to drive adoption across the ProServe organization and partner ecosystem. Key job responsibilities Scientific Leadership Define and drive the scientific vision and roadmap for ProServe Agents and the agentic AI professional services portfolio Lead research and development initiatives to advance the state-of-the-art in agent-based AI systems for professional services workflows Collaborate with senior scientists across AWS to pioneer novel approaches to agent learning, reasoning, and interaction Publish innovative research at top-tier conferences and influence the broader scientific community Evaluate emerging research and identify opportunities to integrate techniques into ProServe Agent architecture Technical Excellence Architect complex multi-agent systems that can effectively understand, reason about, and execute professional services workflows at enterprise scale Lead the integration of Gen AI and ML-based methods across ProServe delivery practices, spearheading AI-driven agent development and adoption initiatives Establish rigorous evaluation frameworks and metrics for measuring agent effectiveness, safety, and business impact Develop production-ready agentic solutions leveraging AWS tools including Kiro, AWS Transform, Strands, Bedrock, and Bedrock AgentCore Customer \& Business Impact Translate complex technical concepts into clear business value propositions for ProServe builders, customers, and partners Lead high-visibility technical delivery for strategic customers, demonstrating ProServe Agent capabilities Drive adoption of ProServe Agents across the AWS Professional Services builder community, transforming delivery methodologies Enable AWS partners on agentic delivery mechanisms and best practices Analyze complex enterprise problems and design AI agent solutions that deliver measurable business outcomes Collaborate effectively with ProServe delivery teams, product, engineering, and design teams to create and launch innovative agent-based solutions Communicate complex agentic AI concepts clearly to diverse audiences across ProServe, customers, and partners Leadership \& Mentorship Provide thought leadership and technical direction on agentic AI strategies and their applications in professional services Drive innovation by sharing new technical solutions and product ideas across AWS teams Mentor and guide the data science, ML engineering, and ProServe builder communities Foster collaboration with key stakeholders to enhance the AWS ProServe experience BASIC QUALIFICATIONS ------------------------ Master's degree in Math, Statistics, Computer Science, or related Science field, or experience in data science, machine learning or data mining Experience building machine learning models or developing algorithms for business application PREFERRED QUALIFICATIONS ---------------------------- 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience 4+ years of practical machine learning experience 2+ years of working with or evaluating AI systems experience Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications Have publications at top-tier peer-reviewed conferences or journals Experience with AWS or cloud technologies Experience in technical leadership of development, testing, and implementation of large-scale, complex technology projects Experience driving collaborative projects from conception to delivery, or experience in development or technical support * Experience creating and delivering written and oral communications for technical and non-technical audiences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life \& AD\&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, CA, Mountain View - 217,800.00 - 294,700.00 USD annually USA, CA, San Diego - 189,400.00 - 256,200.00 USD annually USA, GA, Atlanta - 189,400.00 - 256,200.00 USD annually USA, MA, Boston - 189,400.00 - 256,200.00 USD annually USA, NY, New York - 208,300.00 - 281,800.00 USD annually USA, TX, Austin - 189,400.00 - 256,200.00 USD annually USA, TX, Dallas - 189,400.00 - 256,200.00 USD annually USA, VA, Arlington - 189,400.00 - 256,200.00 USD annually USA, WA, Seattle - 189,400.00 - 256,200.00 USD annually

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View Senior Data Scientist - AI Tooling
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Senior Data Scientist - AI Tooling

IntercomBerlin, Germany

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides

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View AI Research Scientist – Datadog AI Research (DAIR)
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AI Research Scientist – Datadog AI Research (DAIR)

DatadogNew York, New York, USA

As a research scientist on our team, you will partner with research engineers, working on fundamental research problems and collaborating with Datadog’s Product and Engineering teams to help translate research advances into tangible benefits for our customers. <p data-prosemirror-content-type="node" data-prosemirror-node-name="paragraph" data-prosemirror-no

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View Applied AI Data Scientist
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Applied AI Data Scientist

CapcoUS - Dallas

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View Senior Data Scientist - Generative AI
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Senior Data Scientist - Generative AI

RobloxSan Mateo, CA, United States

From $400/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

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View Senior Data Scientist - Generative AI
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Senior Data Scientist - Generative AI

RobloxSan Mateo, CA, United States

From $400/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

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View Applied AI Data Scientist
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Applied AI Data Scientist

CapcoUS - Dallas

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View Data & Applied AI Scientist
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Data & Applied AI Scientist

DevRevNot specified

From $150/yr

Data & Applied AI Scientist DevRev At DevRev, we’re building the future of work with Computer – your AI teammate. Computer is not just another tool. It’s built on the belief that the future of work should be about genuine human connection and collaboration – not piling on more apps. Computer is the best kind of teammate: it amplifies your strengths, takes repetition and frustration out of your day, and gives you more time and energy to do your best work. How? Easy: it’s the only platform capable of… Complete data unification Most AI products focus on either structured data (like CRM records and support tickets), or unstructured data (like documents and emails). Computer AirSync connects everything, unifying all your data sources (like Google Workspace, Jira, Notion) into one AI-ready source of truth: Computer Memory. Powerful search, reasoning, and action Once connected to all your tools and apps, Computer is embedded in your full business context. It can find and summarize, sure. Even

SQLPython
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View AI Research Scientist – Datadog AI Research (DAIR)
D

AI Research Scientist – Datadog AI Research (DAIR)

DatadogNew York, New York, USA

As a research scientist on our team, you will partner with research engineers, working on fundamental research problems and collaborating with Datadog’s Product and Engineering teams to help translate research advances into tangible benefits for our customers. <p data-prosemirror-content-type="node" data-prosemirror-node-name="paragraph" data-prosemirror-no

7 months agovia universal intelligenceApply ›
View Data Scientist - ML/AI

Data Scientist - ML/AI

Tokyo

$6,000,000 - $11,000,000/yr

Data Scientist - ML/AI Company ProfileA global technology-driven organization focused on sustainability, smart infrastructure, and large-scale energy optimization is expanding its data science capabilities in Japan. The company works with complex, real-world energy and infrastructure data to support long-term innovation, research, and operational efficiency. The RoleThe Energy Data Scientist will work with large-scale time-series and IoT-based energy data, analyzing consumption patterns and developing analytical models to support optimization initiatives.This role combines hands-on data analysis with research-oriented reporting, including the preparation of technical reports and studies used for internal decision-making and external publications.You will collaborate closely with engineers, researchers, and business stakeholders to ensure analytical outputs align with real-world syst

Experience analyzing large-...Strong background in data a...Ability to translate comple...Experience with data visual...Exposure to automation, dat...+1 more
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View Senior Data Scientist - AI Tooling
I

Senior Data Scientist - AI Tooling

IntercomBerlin, Germany

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides

7 months agovia universal intelligenceApply ›
View Data & Applied AI Scientist
D

Data & Applied AI Scientist

DevRevNot specified

From $150/yr

Data & Applied AI Scientist DevRev At DevRev, we’re building the future of work with Computer – your AI teammate. Computer is not just another tool. It’s built on the belief that the future of work should be about genuine human connection and collaboration – not piling on more apps. Computer is the best kind of teammate: it amplifies your strengths, takes repetition and frustration out of your day, and gives you more time and energy to do your best work. How? Easy: it’s the only platform capable of… Complete data unification Most AI products focus on either structured data (like CRM records and support tickets), or unstructured data (like documents and emails). Computer AirSync connects everything, unifying all your data sources (like Google Workspace, Jira, Notion) into one AI-ready source of truth: Computer Memory. Powerful search, reasoning, and action Once connected to all your tools and apps, Computer is embedded in your full business context. It can find and summarize, sure. Even

SQLPython
recentlyvia universal intelligenceApply ›

Companies hiring for Data Scientist Ai

Data Scientist Ai Salary Data

View detailed salary ranges from 11 listings with reported compensation ›

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