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New York, New York, United States
Hybrid
Hi, we're Oscar. We're hiring a Senior Data Scientist 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. 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. You will 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.
You will 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.
You will 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.
Responsibilities:
Requirements:
Bonus points:
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At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
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.
Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.
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