Jobs / United States / Oscar Health
Senior Data Scientist, AI Enablement
Oscar Health · 🇺🇸 New York, New York, United States
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
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Sponsor Radar — Oscar Health
This employer posted directly and does not match a government sponsor register.
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About the role
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 pract