[Hiring] Senior Manager, Data Science @Oscar Health

Oscar Health; United States; Remote; USD 174,000 - 229,000; Full time

Job summary

Oscar Health is seeking a remote Senior Manager, Data Science to oversee risk adjustment models and mentor junior data scientists. This role involves collaborating with stakeholders to enhance data science solutions and improve financial performance. The position offers a competitive salary and various employee benefits, including unlimited vacation and equity grants.

Benefits

Unlimited vacation

Company equity grants

Annual performance bonuses

Medical, dental, and vision benefits

Paid parental leave

401(k) plan participation

Life and disability insurance

Paid wellness time and reimbursements

Qualifications

• 6+ years in quantitative technical fields.
• 4+ years using SQL, R, and/or Python.
• 1+ years of people management experience.

Responsibilities

• Oversee models for clinical risk adjustment.
• Translate business goals into team plans.
• Lead a small team of data scientists.

Skills

SQL

R

Python

Education

Advanced degree in a quantitative or technical field

Job description

May 17, 2025 - Oscar Health is hiring a remote Senior Manager, Data Science. Salary: $174,000 - $228,900 per year. Location: USA.

Hi, we're Oscar. We're hiring a Senior Manager to join our Data Science team.

Oscar is the first health insurance company built around a full stack technology platform and a 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

As a Lead Data Scientist / Senior Manager, Data Scientist, you will create and manage risk adjustment models and their underlying infrastructure. This includes direct management and mentorship of junior data scientists and collaborating with stakeholders to develop data science solutions to meet business objectives. Your work will significantly shape Oscar's risk adjustment strategies and systems, enhancing their efficiency and accuracy, which will impact financial performance and strategic decision-making.

You will report to the Director, Data Science.

Work Location:

Oscar is a blended work culture where everyone, regardless of work type or location, feels connected to their teammates, our culture and our mission.

If you live within commutable distance to our New York City office (in Hudson Square), our Tempe office (off the 101 at University Dr), or our Los Angeles office (in Marina Del Rey), you will be expected to come into the office at least two days each week. Otherwise, this is a remote / work-from-home role.

You must reside in one of the following states: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote

Pay Transparency:

The base pay for this role is: $174,000 - $228,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities

• Oversee all the models and systems for Oscar's clinical risk adjustment quantification and submissions processes.
• 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

Qualifications

• 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

Travel

• Up to 5%

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

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.

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 ([e-mail]) to make the need for an accommodation known.

Artificial Intelligence (AI) Guidelines: Please see our AI Guidelines for the acceptable use of artificial intelligence during the interview process at Oscar.

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 Notice to Job Applicants.