Data Scientist Jobs in New York

31 open positions found · Salary range: $140 - $400,000

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 Science Junior Research Scientist
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Health Data Science Junior Research Scientist

New York UniversityNew York, NY, USonsite

$47,500 - $65,000/yr

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

8 months agovia universal intelligenceApply ›
View Principal Associate, Data Scientist - Business Data Product
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Principal Associate, Data Scientist - Business Data Product

Capital OneNew York, NY, US

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

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View Data Scientist II: Networks and Contracts
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Data Scientist II: Networks and Contracts

OscarNew York, New York, United States

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

9 months agovia universal intelligenceApply ›
View Data Scientist I: Network and Contracts
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Data Scientist I: Network and Contracts

OscarNew York, New York, United States

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

9 months agovia universal intelligenceApply ›
View Staff Data Scientist - Product
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Staff Data Scientist - Product

GustoSan Francisco, CA - Hybrid; Denver, CO - Hybrid; New York, NY - Hybrid; United States - Remoteremote

From $154,000/yr

About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that repr

9 months agovia universal intelligenceApply ›
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 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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Data Scientist

FigmaSan Francisco, CA • New York, NY • United States

$136,000 - $338,000/yr

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

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View Principal Data Scientist – Product
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Principal Data Scientist – Product

GustoDenver, CO;San Francisco, CA;New York, NY;Los Angeles, CA;Seattle, WA;Toronto, Ontario, CAN - Remoteremote

From $184,000/yr

About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that repr

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View Senior Customer Data Scientist
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Senior Customer Data Scientist

DatadogNew York, New York, USA

$187,000 - $240,000/yr

About Datadog Datadog helps developers, data teams, and business users ship and learn fast—combining observability, security, feature flagging, and experimentation into one unified platform. Our tools power innovation across the modern enterprise, helping organizations deliver faster, more reliable digital experiences while continuously learning from their data. We’re growing rapidly and building new capabilities that put Datadog at the forefront of experimentation,

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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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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 Sr. Data Scientist (Deep Learning)
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Sr. Data Scientist (Deep Learning)

ElementusNew York, NYremote

$175,000 - $225,000/yr

Sr. Data Scientist (Deep Learning) New York, NY Data Science / Full-time / Hybrid About Us Elementus is a data-first pioneer on a mission to build best-in-class software solutions to help organizations of all sizes navigate web3 safely with confidence and success. Whether you’re interested in building a crypto strategy, identifying risk, or discovering valuable market intelligence, our platform provides the most complete data set and sophisticated attribution capabilities on the market, resulting in the actionable insights companies need to grow and prosper safely in a web3 world. Elementus follows a hybrid work structure and embraces both in-office and remote work. For employees located near our New York headquarters, we have no mandated number of in-office work days but encourage employees to collaborate in our office at least one day per week. Additionally, we provide a lunch stipend and reimburse public transportation commuting costs for those collaborating in our office. Overview

Machine LearningBlockchain data analysis
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View Senior Customer Data Scientist
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Senior Customer Data Scientist

DatadogNew York, New York, USA

About Datadog Datadog helps developers, data teams, and business users ship and learn fast—combining observability, security, feature flagging, and experimentation into one unified platform. Our tools power innovation across the modern enterprise, helping organizations deliver faster, more reliable digital experiences while continuously learning from their data. We’re growing rapidly and building new capabilities that put Datadog at the forefront of experimentation,

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Staff Data Scientist - Product

GustoSan Francisco, CA - Hybrid; Denver, CO - Hybrid; New York, NY - Hybrid; United States - Remoteremote

From $400/yr

About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that repr

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View Principal Data Scientist – Product
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Principal Data Scientist – Product

GustoDenver, CO;San Francisco, CA;New York, NY;Los Angeles, CA;Seattle, WA;Toronto, Ontario, CAN - Remoteremote

About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that repr

9 months agovia universal intelligenceApply ›
View Senior Data Scientist, Rider New Products
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Senior Data Scientist, Rider New Products

LyftNew York, NY

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Rider team is the heartbeat of Lyft business. Every feature you build translates to a better experience for millions of riders globally. The Rider New Product team is the engine of innovation for Lyft's business. The Rider New Product science team’s mission is to rigorously quantify the value of innovation by applyi

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Data Scientist

FigmaSan Francisco, CA • New York, NY • United States

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

9 months agovia universal intelligenceApply ›
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 Data Scientist - Podcast Monetization
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Data Scientist - Podcast Monetization

SpotifyNew York, NYremote

$94,584 - $135,121/yr

Data Scientist - Podcast Monetization New York, NY Data and Analytics – Podcast / Permanent / Remote The Spotify Podcast R&D team consists of Data Scientists, Analytics Engineers and User Researchers dedicated to improving the experience of podcasts for both creators and users of the platform. This role will support our Product team in evaluating the performance of exciting features from Spotify for Creators like Podcast Comments, Creator Analytics, and the Spotify Partner Program (to name a few). What You'll Do - Develop research questions and undertake data exploration to understand creator monetization, and where we can develop our products to bring greater value to creators. - Work closely with cross-functional teams of data scientists, researchers, product owners, engineers, designers, marketers, and others across the company to develop and improve monetization tools for creators. - Define, evaluate, dashboard, and monitor metrics, understanding the root causes of changes. - Commu

PythonDBTBigQuerySQLTableau
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View Senior Data Scientist
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Senior Data Scientist

Revelio LabsNew York City (remote possible)remote

$120,000 - $180,000/yr

Revelio Labs provides workforce intelligence. We absorb and standardize hundreds of millions of public employment records to create the world’s first universal HR database, allowing us to see current workforce composition and trends of any company. Our customers include investors, corporate strategists, HR teams, and governments. Revelio Labs is looking for a creative Senior Data Scientist who is able to maintain, improve, and develop complex models alongside a team of experienced data scientists. We prefer candidates with experience and strong interest in NLP, Time Series, and Bayesian methods. Our offices are based in New York City, but the position can be done remotely. The pay range for this position in New York City is $120,000 - $180,000 per year. The salary range for performing this role outside of New York City may differ. Base pay offered may vary depending on job-related knowledge, skills, and experience. Additionally, you may be eligible to participate in our company’s equit

NLPTime SeriesBayesian methods
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View Senior Data Scientist, Algorithms - Lyft Ads
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Senior Data Scientist, Algorithms - Lyft Ads

LyftNew York, NY

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Ads is one of Lyft’s newest and fastest-growing businesses, focused on building the world’s largest transportation media network. Our mission is to help brands reach riders during key moments of their journey—before, during, and after a ride—by delivering meaningful, contextually relevant ad experiences. We operate

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View Data Scientist, Product Analytics
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Data Scientist, Product Analytics

AirtableSan Francisco, CA; New York City, NY; Austin, TX

From $500,000/yr

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.Airtable is seeking a product-focused Data Scientist to join our Analytics & Data Science team. In this high-impact role, you’ll partner closely with product development teams to transform raw user data in

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View Data Scientist, Algorithms - Optimization
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Data Scientist, Algorithms - Optimization

LyftNew York, NY

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems from shaping critical business decisions to building algorithms that power our products. We seek passionate, driven Data Scientists to a

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View Data Scientist II: Networks and Contracts
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Data Scientist II: Networks and Contracts

OscarNew York, New York, United States

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

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View Data Scientist I: Network and Contracts
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Data Scientist I: Network and Contracts

OscarNew York, New York, United States

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

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Data Scientist Salary Data in New York

View detailed salary ranges from 13 listings with reported compensation ›

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