Oscar Health: Senior Data Scientist, AI Enablement — New York, New York, United States

About Oscar Health

Oscar Health is a health-insurance business built around a technology platform and member services. Its recruitment board also describes Oscar Medical Group activities in virtual health assessments and virtual care. Those notices reflect distinct parts of the wider operation: insurance products and member administration alongside clinical services. Technology, insurance operations and care delivery consequently appear in different roles on the board, with the employing team determining the service and professional responsibilities of an individual position.

The position and its setting

Oscar Health lists Senior Data Scientist, AI Enablement in New York, New York, United States, under reference 8119603. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Data
• Employer listing date: 16 September 2026

Responsibilities and work described

• 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
• 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 engineering background (or vice versa) who is energized by turning ambiguous workflows into well-engineered, LLM-augmented data tools and automated insights
• Act as a foundational driver for AI Enablement for Data
• 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
• 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
• Leadership: 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

Essential requirements and candidate background

• 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

Experience and professional background

• Experience: the healthcare industry

Preferred experience and additional strengths

• Experience integrating advanced agentic workflows into analytical tools and automated pipelines
• Familiarity: claims or clinical data
• Experience: headless semantic layers, such as Cube or MetricFlow
• Our ideal candidate is a data scientist with an AI engineering background or an AI engineer with a data science background
• This is an authentic Oscar Health job opportunity
• Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience
• Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements
• Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts
• California Residents: For information about our collection, use, and disclosure of applicants’ personal information as well as applicants’ rights over their personal information, please see our Privacy Policy

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• 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
• Advertised location: New York, New York, United States

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Data Scientist, AI Enablement vacancy is not an offer for reference 8119603; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Oscar Health

Applications follow the official employer page linked below.

Open the official Oscar Health posting below and match the title and reference 8119603.

Compare your qualifications and experience with the essential conditions for the New York, New York, United States position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• AI/ML
• LLMs
• AI
• compliance
• insurance
• stakeholder management
• claims administration
• clinical documentation