Oscar Health: Data Scientist II — Los Angeles, California, 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 Data Scientist II in Los Angeles, California, United States, under reference 7594414. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Data
• Employer listing date: 6 February 2026

Responsibilities and work described

• Oscar's data team is focused on pushing our understanding of this complex landscape of health care 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 Data Scientist II you will drive data science projects across multiple teams and domains
• In this role, you’ll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions
• This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight
• Report into a leader on the Data team (Senior Data Scientist and above)
• This posting is representative of multiple roles, and final team placement will be determined during the interview process
• Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year
• You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses
• Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
• Own projects end-to-end, including problem definition, implementation, validation, and iteration
• Delivery: high-quality analytical and modeling outputs with limited manager oversight
• Collaboration: closely with data science peers and cross-functional partners across business units
• Help ensure data science processes and outputs align with broader team strategies and roadmaps
• Delivery: guidance or informal mentorship to junior data scientists or analysts when needed
• Contribution: to improving data science practices, tooling, and documentation

Essential requirements and candidate background

• 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
• 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
• 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Education and qualification routes

• Degree / qualification: Master’s degree in a quantitative or technical field

Preferred experience and additional strengths

• Knowledge: or previous work experience in health care or health insurance
• Experience mentoring or supporting junior team members
• Experience deploying or supporting models in production environments
• 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: Los Angeles, California, United States

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Data Scientist II vacancy is not an offer for reference 7594414; 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 7594414.

Compare your qualifications and experience with the essential conditions for the Los Angeles, California, 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
• insurance
• stakeholder management
• claims administration
• care coordination
• clinical documentation