Oscar Health: Senior Data Scientist — 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 in New York, New York, United States, under reference 8083703. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Data
• Employer listing date: 25 July 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
• The Risk Adjustment Data Science team turns that data into the models, pipelines, and systems that quantify Oscar's clinical risk and power our risk adjustment submissions—work that directly impacts Oscar's financial performance and strategic decision-making
• As a Senior Data Scientist on this team, you will design, build, and maintain systems that automate manual business processes across the risk adjustment space
• Our Actuarial team will be your core stakeholders, and you will also partner with our internal Risk Adjustment team and other business functions
• Work: closely with these stakeholders to understand their processes, then bring those workflows into our data science infrastructure—re-engineering them to be more robust, accurate, and feature-rich
• This is a builder-focused role: the ideal candidate is energized by taking an ambiguous, manual process and turning it into well-engineered, validated, and maintainable production systems
• Own projects end-to-end—scoping problems with stakeholders, designing the technical approach, implementing pipelines and models, validating outputs against existing processes, and iterating after launch
• Beyond individual projects, you will help shape the technical direction of the team's risk adjustment models and infrastructure, and provide informal mentorship to junior data scientists
• Report to the Senior Manager, Data Science on the Risk Adjustment team
• 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
• Designs, builds, and maintains production data pipelines, statistical/ML models, and analytical systems supporting Oscar's clinical risk adjustment quantification and submissions processes
• Partners closely with business stakeholders including the Actuarial and Risk Adjustment teams—to translate manual processes into automated, validated, and feature-rich systems

Essential requirements and candidate background

• 4+ years of industry or other quantitative technical fields (which may include academia)
• 3+ years of work experience working with SQL and Python to query, manipulate, and analyze data
• 3+ years 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

Preferred experience and additional strengths

• Advanced degree in a quantitative or technical field
• Experience: the healthcare, finance and/or insurance industries
• Experience: risk adjustment, actuarial processes, or health insurance financial modeling
• Experience converting manual or spreadsheet-based analytical processes into automated production systems
• Experience: modern data and orchestration tooling (e.g., BigQuery, dbt, Dataflow) and cloud platforms
• 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 vacancy is not an offer for reference 8083703; 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 8083703.

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
• AI
• compliance
• insurance
• stakeholder management
• business processes
• claims administration