Senior Manager, Data Science

Hi, we're Oscar. We're hiring a Senior Manager, Data Science 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

We are a team of data scientists and analysts who bridge and business to deliver measurable results and transformative impact. You will lead a team dedicated to quantifying, analyzing, and accelerating growth and engagement. You will partner with Sales, Marketing, and Strategic Finance to model our growth funnels, create predictive models that forecast churn, and align macro market dynamics with Oscar’s strategic roadmap.

You will 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.

Pay Transparency

The base pay for this role is: $180,504 - $236,911.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses.

Responsibilities

Translates business goals into plans and tactics for the team

Works with more senior leaders to establish longer term strategies and roadmaps

Participates in team-wide technical and operations management responsibilities

Leads and manages a small team of data scientists and/or analysts

Interacts and collaborates closely with data and business management across functional areas

Leads the research, development, and maintenance of data pipelines, statistical/ML models, and/or advanced analyses

Compliance with all applicable laws and regulations

Other duties as assigned

Requirements

6+ years of industry or other quantitative technical fields (which may include academia)

4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data

4+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

1+ years of people management experience (for people manager roles)

Bonus Points

Advanced degree in a quantitative or technical field

Experience In The Healthcare, Finance And/or Insurance Industries

This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud

here

.

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.

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

.