Oscar Health: Senior Data Scientist, Pharmacy — 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, Pharmacy in New York, New York, United States, under reference 7914965. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Data
• Employer listing date: 21 October 2026

Responsibilities and work described

• The Senior Data Scientist, Pharmacy position supports our pharmacy benefit, developing data pipelines, models, and analytics that improve medication access, member experience, and plan affordability
• Work: with clinical, business, product, and engineering partners, you will lead projects in formulary optimization, utilization and population need trend analytics, and prior authorization automation
• 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
• Design: and develop clinical AI and ML applications, leading the experimental lifecycle, target development, and operationalization strategy
• Apply rigorous data science practices to ensure performance is robustly measured, safety and observability are prioritized, and deployment decisions are grounded in clear clinical and operational success criteria
• Apply advanced analytics to evaluate complex financial and health outcome questions, helping partners understand the potential effects of changes to clinical policies, benefit design, and member programs
• Development: models and scenario analyses to quantify tradeoffs, test assumptions, and characterize uncertainty, translating findings into actionable recommendations
• Validate analytical methods and results to ensure conclusions are robust and appropriate for the decisions they inform
• Collaboration: closely with data leaders and business teams to enhance overall data processes, and lead execution with your team
• Understand their needs and requirements, provide data support, and work together to develop solutions that improve processes and outcomes
• Partner with business and technical stakeholders to prioritize opportunities, define success metrics, and guide experiments through evaluation and implementation
• Compliance with all applicable laws and regulations
• Other duties as assigned

Essential requirements and candidate background

• A bachelor's degree or 6+ years of industry or educational experience in a technical field
• 4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
• 4+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis
• 4+ years of experience with statistical modeling and data processing/ETL pipeline building
• 2+ years of experience working with and presenting to non-technical stakeholders

Education and qualification routes

• Degree / qualification: A master’s degree in a quantitative field plus 3 years of relevant experience, or a PhD in a quantitative field

Preferred experience and additional strengths

• Experience: healthcare, finance or insurance industries, particularly pharmacy benefits or clinical operations
• Experience developing and deploying AI/ML applications involving unstructured documents, with rigorous evaluation and production monitoring
• Experience using statistical modeling to evaluate utilization trends, program effectiveness, or financial and health outcome tradeoffs, quantifying uncertainty
• 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, Pharmacy vacancy is not an offer for reference 7914965; 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 7914965.

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
• pharmacy
• compliance
• insurance
• stakeholder management
• member services