# Senior Data Scientist, AI Enablement at Oscar Health > Onsite · United States · Senior · Analytics / Data science · open. Source: https://alderhq.app/jobs/greenhouse%3Aoscar%3A8119603 (read 2026-11-15). ## Facts (observed) - Company: [Oscar Health](https://alderhq.app/companies/oscar-health) - Location text: New York, New York, United States; New York, NY - Where it can be done from (inferred): Onsite · United States (evidence: "Location: New York, New York, United States; New York, NY") - Posted: 2026-09-16 (60 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-15 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://job-boards.greenhouse.io/oscar/jobs/8119603 - Skills listed (inferred): Python, SQL, LLMs ## Pay and sponsorship - Posted pay: $164k–$215k per year (from the description) - Market band for similar posted roles (New York, n 64): p25 $134k, median $169k, p75 $191k - H-1B filings at this company for similar roles, FY26: 2 ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance)) ## Description (the employer's text) Hi, we're Oscar. We're hiring a Senior Data Scientist, AI Enablement 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 the complex landscape of the healthcare and insurance business. Insurance companies sit on a trove of data that is both broad and deep—spanning financial claims, clinical medical records, and rich product interaction data from our members. As a Senior Data Scientist for AI Enablement, you will sit at the intersection of data science, data engineering, and artificial intelligence. You will be responsible for designing, building, and maintaining AI-powered analytical systems and pipelines that empower our internal stakeholders to self-serve their data needs. This is a builder-focused role: the ideal candidate is a data scientist with a strong engineering background (or vice versa) who is energized by turning ambiguous workflows into well-engineered, LLM-augmented data tools and automated insights. You will act as a foundational driver for AI Enablement for Data. You will be expected to operate with a high degree of independence, taking projects from initial conception to launch. While you will own these workflows end-to-end, you won’t be building in a silo. This is a highly cross-functional position where you will partner closely with a talented group of AI engineers, software engineers, data scientists, and business stakeholders to bring scalable, production-ready solutions to life. You will report into the Director, Data Science. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $163,944 - $215,176.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. ### Responsibilities - Lead the design, development, and deployment of AI-driven self-serve analytics products, from zero-to-one prototypes to robust production systems. - Rapidly experiment with new models, techniques, and tools, selecting approaches based on measured quality, reliability, performance, and cost. - Establish evaluations and monitoring for analytical accuracy, generated queries, and AI-generated insights, including how systems handle ambiguous questions and unsupported conclusions. - Collaborate cross-functionally with AI engineers, software engineers, and business leaders to deeply understand user needs and seamlessly integrate your data workflows into broader software applications. - Help shape Oscar’s technical direction and roadmap for AI-enabled analytics. - Compliance with all applicable laws and regulations. - Other duties as assigned. ### Requirements - 4+ years of industry or other quantitative technical fields (which may include academia). - 3+ years of experience working with SQL and Python to query, manipulate, and analyze data - 2+ years of experience with LLMs, prompt engineering, and GenAI concepts, with a track record of applying them to practical use cases. - Experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing - Experience designing, building, and maintaining production data pipelines or systems, applying software engineering best practices such as version control, code review, and testing - Experience acting as a primary driver of technical projects, operating independently to scope and deliver solutions from end-to-end. ### Bonus points - Experience integrating advanced agentic workflows into analytical tools and automated pipelines. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aoscar%3A8119603 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.