Senior Data Scientist, AI Enablement
Oscar Health · New York, New York, United States
About this role
**Senior Data Scientist, AI Enablement** Hi, we’re Oscar. We’re hiring a **Senior Data Scientist, AI Enablement** to join our Data Team. --- ## About the role Oscar’s data team focuses on understanding the complex landscape of healthcare and insurance—spanning **financial claims, clinical medical records, and member product interaction data**. In this role, you’ll sit at the intersection of **data science, data engineering, and artificial intelligence**. You’ll design, build, and maintain **AI-powered analytical systems and pipelines** that enable internal stakeholders to **self-serve** their data needs. This is a **builder-focused** position: you’ll turn ambiguous workflows into **well-engineered, LLM-augmented data tools** and **automated insights**. You’ll own workflows end-to-end, working closely with **AI engineers, software engineers, data scientists, and business stakeholders** to deliver scalable, production-ready solutions. You’ll report into the **Director, Data Science**. --- ## Work location **New York City (Hybrid)** — **3 days in-office per week**. - **Thursdays** are required in-office for team meetings/events - Other two office days are flexible - **#LI-Hybrid** --- ## Pay transparency **Base pay:** **$163,944 – $215,176.50 / year** You may also be eligible for **benefits**, **unlimited vacation**, **company equity grants**, and **annual performance bonuses**. --- ## Responsibilities - Lead design, development, and deployment of **AI-driven self-serve analytics products** (from prototypes to production) - Rapidly experiment with **new models/techniques/tools**, selecting based on **quality, reliability, performance, and cost** - Establish **evaluations and monitoring** for analytical accuracy, generated queries, and AI-generated insights (including handling ambiguous questions and unsupported conclusions) - Collaborate cross-functionally to integrate data workflows into broader software applications - Help shape Oscar’s **technical direction and roadmap** for AI-enabled analytics - Ensure compliance with applicable laws and regulations - Other duties as assigned --- ## Requirements - **4+ years** industry or quantitative technical experience (academia included) - **3+ years** working with **SQL and Python** to query, manipulate, and analyze data - **2+ years** experience with **LLMs, prompt engineering, and GenAI concepts**, applied to practical use cases - Experience building **data models** and using advanced analytics/statistical modeling and/or data processing - Experience designing/building/maintaining **production data pipelines or systems**, using software engineering best practices (version control, code review, testing) - Experience acting as a primary driver of technical projects, delivering end-to-end solutions independently --- ## Bonus points - Experience integrating **agentic workflows** into analytical tools and automated pipelines - Healthcare industry experience (claims and/or clinical data) - Experience with headless semantic layers (e.g., **Cube** or **MetricFlow**) - Ideal profile: **data scientist with AI engineering background** or **AI engineer with data science background** --- ## Equal opportunity & AI recruiting note Oscar is an **Equal Opportunity Employer** and is committed to an inclusive environment. Oscar also has **AI Guidelines** outlining acceptable use of AI for candidates and how AI supports recruiting. --- ## Reasonable accommodation If you need reasonable accomm
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