Pay
In line with similar jobs
$164K–$215K against $118K–$194K, the middle half of what similar US postings state.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
Senior Data Scientist
New York, New York, United States
Open 3 months, first seen by us 103 days ago- Pay
$163,944–215,176.5/year · Base — pay source
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:
Read the full posting- Work setting
Hybrid — work setting source
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.
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingOscar's data team is focused on pushing our understanding of the complex landscape of the healthcare and insurance business.
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.
Turn manual risk adjustment processes into automated, validated production systems
Own projects end-to-end, from problem definition through post-launch iteration
Build and maintain production data pipelines, statistical/ML models, and analytical systems
Validate new system outputs against existing processes
Provide informal mentorship to junior data scientists
From the employer’s posting
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.
translate manual processes into automated, validated, and feature-rich systems
Owns projects end-to-end, including problem definition, technical design, implementation, validation against existing processes, and post-launch iteration
Designs, builds, and maintains production data pipelines, statistical/ML models, and analytical systems
validation against existing processes
Provides informal mentorship to junior data scientists
What you’ll bring
All qualificationsCore experience
- 4+ years of industry or other quantitative technical fields (which may include academia).
- Experience in the healthcare, finance and/or insurance industries
- 3+ years of work experience working with SQL and Python to query, manipulate, and analyze data
- Experience with risk adjustment, actuarial processes, or health insurance financial modeling
- 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
- Experience converting manual or spreadsheet-based analytical processes into automated production systems
Qualification wording
4+ years of industry or other quantitative technical fields (which may include academia).
Experience in the healthcare, finance and/or insurance industries
3+ years of work experience working with SQL and Python to query, manipulate, and analyze data
Experience with risk adjustment, actuarial processes, or health insurance financial modeling
3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
Experience converting manual or spreadsheet-based analytical processes into automated production systems
Posting record
Report an errorOpen 3 monthsWe first saw this posting 103 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 29, 2026103 days ago
- Recorded sightings
- 184
- Last seen by us
- Nov 9, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 103
Up longer than most. Similar jobs usually come down between day 7 and day 57.
Well past Oscar Health’s usual: its jobs come down by about day 46.
From 10,789 similar postings that came down, and 29 of Oscar Health’s. Coming down is not always a hire.
Oscar Health is hiring
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- BigQuery
- dbt
Where the posting names them
- 4+ years of industry or other quantitative technical fields (which may include academia). - 3+ years of work experience working with SQL and Python to query, manipulate, and analyze data - 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
- Experience converting manual or spreadsheet-based analytical processes into automated production systems - Experience with modern data and orchestration tooling (e.g., BigQuery, dbt, Dataflow) and cloud platforms This is an authentic Oscar Health job opportunity.
Your next step
Complete your application on oscarhealth.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About Oscar Health
- People
- About 2,305 in 2025, down 4% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as OSCR.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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:
- Designs, builds, and maintains production data pipelines, statistical/ML models, and analytical systems supporting Oscar's clinical risk adjustment quantification and submissions processes
- Partners closely with business stakeholders including the Actuarial and Risk Adjustment teams—to translate manual processes into automated, validated, and feature-rich systems
- Owns projects end-to-end, including problem definition, technical design, implementation, validation against existing processes, and post-launch iteration
- Interacts and collaborates closely with data and business counterparts across functional areas
- Works with team and manager to impact longer term strategies and roadmap
- Provides informal mentorship to junior data scientists
- Compliance with all applicable laws and regulations
- Other duties as assigned
Requirements:
- 4+ years of industry or other quantitative technical fields (which may include academia).
- 3+ years of work experience working with SQL and Python to query, manipulate, and analyze data
- 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
- Experience designing, building, and maintaining production data pipelines or systems, applying software engineering best practices such as version control, code review, and testing
Bonus points:
- Advanced degree in a quantitative or technical field
- Experience in the healthcare, finance and/or insurance industries
- Experience with risk adjustment, actuarial processes, or health insurance financial modeling
- Experience converting manual or spreadsheet-based analytical processes into automated production systems
- Experience with modern data and orchestration tooling (e.g., BigQuery, dbt, Dataflow) and cloud platforms
This is an authentic Oscar Health job opportunity.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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:
- Location & working pattern
New York, New York, United States
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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.