Senior Marketing Scientist, Level 4 SnapchatSenior Marketing Scientist, Level 4New York, NY$157,000–$235,000 / year5+ years of post-Bachelor's advanced analytics and measurement experience; or Master's degree in a quantitative or business field + 4 years of post-graduate advanced analytics and measurement experience; or PhD in a relevant quantitative or business field + 1 year of post-graduate advanced analytics and measurement experience. We equip our Sales teams with what they need to be quantitatively driven, consultative partners to advertisers through training, tooling, and measurement best practices, and partner closely with Product, Engineering, Strategy, and Sales to ensure Snap's ad products are effective, efficient, and customer‑centric.
Senior Scientist -Product Support WerfenSenior Scientist -Product SupportOrangeburg, New York$110,000–$130,000 / yearFull timeResponsible for cross-functional collaboration for technical solutions related to released (on-market) product support primarily as well as working with R&D during new product development, with a focus on manufacturability and transfer into manufacturing. Technical leadership, problem solving skills, effective time management, team manage ment, effective in building cross-functional relationships and effective communication.
Principal Scientist - Data Insights & Hypothesis Design TempusPrincipal Scientist - Data Insights & Hypothesis DesignNew York, NY$150,000–$200,000 / yearData Engineering & Scale Architecture: Proven experience collaborating directly with data engineering and platform teams to build large-scale relational databases, design advanced SQL data models, and support the robust infrastructure needed to create and deploy massive, production-grade models. Multi-Omic & NGS Modalities: Deep expertise executing multi-omic analyses across a diverse spectrum of high-throughput sequencing applications and biotechnologies, including specialized NGS modalities such as single-cell sequencing, immunomics, metagenomics, and varied sequencing platforms.
Human Factors Scientist (Ph.D.) Exponent Inc.Human Factors Scientist (Ph.D.)New York, New York$105,000–$120,000 / yearFull timeFor over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability. You will be responsible for: Supporting a broad range of human factors and UX consulting activities, including litigation support, usability testing, sensory study design, survey development, and evaluation of how users interact with consumer products.
Scientist (Water Ecology), Bureau of Environmental Sciences and Engineering City of New YorkScientist (Water Ecology), Bureau of Environmental Sciences and EngineeringQueens, NYThe Office of Building Water System Oversight (BWSO) within the Bureau of Environmental Sciences and Engineering (ESE) is responsible for conducting inspections to ensure compliance with various rules and regulations aimed at improving the operating conditions of various engineered systems such as cooling towers, water tanks, evaporative condensers, internal plumbing, and wastewater systems in order to prevent risks associated with these systems. A baccalaureate degree from an accredited college or university with 24 semester credits in one or a combination of the areas of study described in ""1"" above, at least 12 of which must have been in one of these areas of study; and at least one year of satisfactory full time experience, which may not have been part of graduate or undergraduate course work, working in the field of water quality planning, management or.
Radiation Field Scientist, Bureau of Environmental Sciences and Engineering City of New YorkRadiation Field Scientist, Bureau of Environmental Sciences and EngineeringQueens, NYTo be eligible for placement in Assignment Level III, individuals must have, after meeting the minimum requirements described in Assignment Level I, at least two years of satisfactory service as a Scientist (Radiation Control) AL I and AL II with the City of New York, or at least two additional years of satisfactory full-time professional experience in the field of health physics, radiological health, or radiation hygiene. To be eligible for placement in Assignment Level II, individuals must have, after meeting the minimum requirements described above, at least one year of satisfactory service as a Scientist (Radiation Control) AL I with the City of New York, or at least one additional year of satisfactory full-time professional experience in the field of health physics, radiological health, or radiation hygiene.
Principal Scientist - Data Insights & Hypothesis Design Tempus AI IncPrincipal Scientist - Data Insights & Hypothesis DesignNY$150,000–$200,000 / yearData Engineering & Scale Architecture: Proven experience collaborating directly with data engineering and platform teams to build large-scale relational databases, design advanced SQL data models, and support the robust infrastructure needed to create and deploy massive, production-grade models. Multi-Omic & NGS Modalities: Deep expertise executing multi-omic analyses across a diverse spectrum of high-throughput sequencing applications and biotechnologies, including specialized NGS modalities such as single-cell sequencing, immunomics, metagenomics, and varied sequencing platforms.
Staff Applied Scientist - Agentic Interfaces Datadog IncStaff Applied Scientist - Agentic InterfacesNew York, NY$276,000–$345,000 / yearThe Agentic Interfaces team owns the platform that connects these agents to Datadog: the MCP Server, the tools and retrieval surfaces agents call into, and - critically - the evaluation systems that tell us whether an agent''s experience on Datadog data is actually getting better over time. Provide technical leadership across the Agentic Interfaces team and the broader organization through design reviews, working groups, and mentorship, and represent the team externally through talks, blog posts, and contributions to the open agent ecosystem.
Modelling Data Scientist, Vice President - AI Labs BlackRock IncModelling Data Scientist, Vice President - AI LabsNew York, NY$167,500–$225,000 / yearOur teams work on some of the firm's highest priority strategic initiatives, including large-scale generative AI systems, intelligent agents, predictive analytics, optimization engines, operational risk solutions, and AI platforms that accelerate innovation across BlackRock. Solutions developed often use multiple subject areas, including Generative AI, machine learning, and optimization, and combine original methods with pioneering solutions available in industry and academia.
Staff Applied Scientist - Dashboards Datadog IncStaff Applied Scientist - DashboardsNew York, NY$276,000–$345,000 / yearGood" isn''t one number - it spans answer quality, tool-selection accuracy (critical given the growing catalog of data sources and visualizations), retrieval relevance, latency, token cost, and end-to-end agent success. We are transforming Dashboards into an AI-native control surface and the central hub where every team moves seamlessly from question to insight to action - providing a guided experience that feels like having an expert SRE at your side and ensuring the entry point is never an empty canvas.
Senior Data Scientist II, Marketing Zip Co LtdSenior Data Scientist II, MarketingNYRemote$162,000–$175,000 / yearOperating in two core markets - Australia and New Zealand (ANZ) and the US, Zip offers access to point-of-sale credit and digital payment services, connecting millions of customers with its global network of tens of thousands of merchants. If hired, employees will be in an ''at-will position'' and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Senior Applied Scientist Datadog IncSenior Applied ScientistNew York, NY$220,000–$275,000 / yearYou have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines. About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale.
Scientist (Water Ecology), I - Bureau of Environmental Sciences and Engineering City of New YorkScientist (Water Ecology), I - Bureau of Environmental Sciences and EngineeringNew York, NYThe Office of Building Water System Oversight (BWSO) within the Bureau of Environmental Sciences and Engineering (ESE) is responsible for The conducting inspections to ensure compliance with various rules and regulations aimed at improving the operating conditions of various engineered systems such as cooling towers, water tanks, evaporative condensers, internal plumbing, and wastewater systems in order to prevent risks associated with these systems. A baccalaureate degree from an accredited college or university with 24 semester credits in one or a combination of the areas of study described in ""1"" above, at least 12 of which must have been in one of these areas of study; and at least one year of satisfactory full time experience, which may not have been part of graduate or undergraduate course work, working in the field of water quality planning, management or.
Senior Data Scientist SofiSenior Data ScientistNew York City, NY$128,000–$240,000 / yearWhat you'll do: Facilitate AML model development, implementation, optimization, assessment and validation of risk-based customer screening, transaction screening, transaction monitoring and AML customer risk rating covering multiple product lines, including banking, brokerage and lending to ensure sound risk coverage across the enterprise. The role: The Compliance Senior Data Scientist will be responsible for assisting the Anti-Money Laundering Compliance program with model development, model optimization, model validation, management information reporting, AML system integration, AML data infrastructure and AML data architecture to effectively fight financial crime.
Data Scientist Infosys LtdData ScientistNew York, NY$94,000–$164,500 / yearIdeal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production. Experience with Lean / Agile development methodologies This position may require travel, will involve close co-ordination with offshore teams This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate.
Senior Data Scientist Infosys LtdSenior Data ScientistNew York, NY$103,500–$188,888 / year146390BRArizona, California, Colorado, Georgia, New Jersey, New York, North Carolina, Texas, VirginiaUSAInfosys Limited Data ScientistITL USA Alpharetta, GA, Austin, TX, Bridgewater, NJ, Charlotte, NC, Denver, CO, Houston, TX, New York, NY, Phoenix, AZ, Raleigh, NC, Richardson, TX, Sunnyvale, CA, Tempe, AZArtificial IntelligenceTechnology|Data Science|Machine Learning, Technology|Machine learning|data science, Technology|Machine Learning|PythonSr Data ScientistAbout Us. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production.
NewPrincipal Marketing Scientist, Level 6 SnapchatPrincipal Marketing Scientist, Level 6New York, NY$209,000–$313,000 / yearWe equip our Sales teams with what they need to be quantitatively driven, act as consultative partners to advertisers through training, tooling, and measurement best practices, and partner closely with Product, Engineering, Strategy, and Sales to ensure Snap's ad products are effective, efficient, and customer‑centric. 10+ years of post-Bachelor's advanced analytics and measurement experience; or Master's degree in a quantitative or business field + 9 years of post-graduate advanced analytics and measurement experience; or PhD in a relevant field + 6 year of post-graduate advanced analytics and measurement experience.
Senior Lead Data Scientist Compass IncSenior Lead Data ScientistNew York City, NY$204,000–$226,700 / yearFounded in 2012, we're revolutionizing the real estate industry with our end-to-end platform that empowers residential real estate agents to deliver exceptional service to seller and buyer clients. In this role, you will have mastery over major organizational problems and solution spaces, delivering with complete independence and maintaining accountability for strategic intent and results.
Lead Data Scientist Compass IncLead Data ScientistNew York City, NY$175,500–$195,000 / yearYou will partner with senior business stakeholders and engineering leaders to uncover insights, develop cutting-edge data-driven solutions, and drive initiatives that directly shape company-wide strategic planning, resource allocation, and product innovation. Collaborate deeply with senior business stakeholders and engineering partners to identify strategic opportunities, translate overarching business goals into complex analytical frameworks, and deliver high-impact actionable insights.
Senior Data Scientist StashSenior Data ScientistNew York, NY$150,000–$180,000 / yearBusiness partnership: Proven ability to work with PMs, designers, marketers, and engineers; connect analyses to CAC, LTV, retention, ARPU, and other commercial outcomes. Own measurement for priority bets: Partner with Product and Growth on our Ideal Customer Profile, payback, attribution, subscription performance, and Financial Advice (FA) measurement—so leaders can trust the numbers behind company OKRs.