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, Pharmacy
New York, New York, United States
Live, first seen by us 19 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
The Senior Data Scientist, Pharmacy position supports our pharmacy benefit, developing data pipelines, models, and analytics that improve medication access, member experience, and plan affordability. Working with clinical, business, product, and engineering partners, you will lead projects in formulary optimization, utilization and population need trend analytics, and prior authorization automation. 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 postingThe Senior Data Scientist, Pharmacy position supports our pharmacy benefit, developing data pipelines, models, and analytics that improve medication access, member experience, and plan affordability.
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.
Design and develop clinical AI and ML applications, leading the experimental lifecycle, target development, and operationalization strategy.
Develop models and scenario analyses to quantify tradeoffs, test assumptions, and characterize uncertainty, translating findings into actionable recommendations.
Collaborate closely with data leaders and business teams to enhance overall data processes, and lead execution with your team.
From the employer’s posting
The Senior Data Scientist, Pharmacy position supports our pharmacy benefit, developing data pipelines, models, and analytics that improve medication access, member experience, and plan affordability. Working with clinical, business, product, and engineering partners, you will lead projects in formulary optimization, utilization and population need trend analytics, and prior authorization automation.
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
Responsibilities: Design and develop clinical AI and ML applications, leading the experimental lifecycle, target development, and operationalization strategy. Apply rigorous data science practices to ensure performance is robustly measured, safety and observability are prioritized, and deployment decisions are grounded in clear clinical and operational success criteria. Apply advanced analytics to evaluate complex financial and health outcome questions, helping partners understand the potential effects of changes to clinical policies, benefit design, and member programs. Develop models and scenario analyses to quantify tradeoffs, test assumptions, and characterize uncertainty, translating findings into actionable recommendations. Validate analytical methods and results to ensure conclusions are robust and appropriate for the decisions they inform.
Design and develop clinical AI and ML applications, leading the experimental lifecycle, target development, and operationalization strategy. Apply rigorous data science practices to ensure performance is robustly measured, safety and observability are prioritized, and deployment decisions are grounded in clear clinical and operational success criteria. Apply advanced analytics to evaluate complex financial and health outcome questions, helping partners understand the potential effects of changes to clinical policies, benefit design, and member programs. Develop models and scenario analyses to quantify tradeoffs, test assumptions, and characterize uncertainty, translating findings into actionable recommendations. Validate analytical methods and results to ensure conclusions are robust and appropriate for the decisions they inform. Collaborate closely with data leaders and business teams to enhance overall data processes, and lead execution with your team. Understand their needs and requirements, provide data support, and work together to develop solutions that improve processes and outcomes. Partner with business and technical stakeholders to prioritize opportunities, define success metrics, and guide experiments through evaluation and implementation.
Apply advanced analytics to evaluate complex financial and health outcome questions, helping partners understand the potential effects of changes to clinical policies, benefit design, and member programs. Develop models and scenario analyses to quantify tradeoffs, test assumptions, and characterize uncertainty, translating findings into actionable recommendations. Validate analytical methods and results to ensure conclusions are robust and appropriate for the decisions they inform. Collaborate closely with data leaders and business teams to enhance overall data processes, and lead execution with your team. Understand their needs and requirements, provide data support, and work together to develop solutions that improve processes and outcomes. Partner with business and technical stakeholders to prioritize opportunities, define success metrics, and guide experiments through evaluation and implementation. Compliance with all applicable laws and regulations.
What you’ll bring
All qualificationsCore experience
- 4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
- Experience in healthcare, finance or insurance industries, particularly pharmacy benefits or clinical operations.
- 4+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis
- Experience developing and deploying AI/ML applications involving unstructured documents, with rigorous evaluation and production monitoring.
- 4+ years of experience with statistical modeling and data processing/ETL pipeline building
- Experience using statistical modeling to evaluate utilization trends, program effectiveness, or financial and health outcome tradeoffs, quantifying uncertainty.
Qualification wording
4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
Experience in healthcare, finance or insurance industries, particularly pharmacy benefits or clinical operations.
4+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis
Experience developing and deploying AI/ML applications involving unstructured documents, with rigorous evaluation and production monitoring.
4+ years of experience with statistical modeling and data processing/ETL pipeline building
Experience using statistical modeling to evaluate utilization trends, program effectiveness, or financial and health outcome tradeoffs, quantifying uncertainty.
Education & alternatives
Requirements: - A bachelor's degree or 6+ years of industry or educational experience in a technical field. - 4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
- Experience using statistical modeling to evaluate utilization trends, program effectiveness, or financial and health outcome tradeoffs, quantifying uncertainty. - A master’s degree in a quantitative field plus 3 years of relevant experience, or a PhD in a quantitative field. This is an authentic Oscar Health job opportunity.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 21, 202619 days ago
- Recorded sightings
- 42
- 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 19
Similar jobs usually come down between day 7 and day 57.
At Oscar Health, jobs usually 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
- R
- SQL
Where the posting names them
- A bachelor's degree or 6+ years of industry or educational experience in a technical field. - 4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data - 4+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis
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, Pharmacy 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:
The Senior Data Scientist, Pharmacy position supports our pharmacy benefit, developing data pipelines, models, and analytics that improve medication access, member experience, and plan affordability. Working with clinical, business, product, and engineering partners, you will lead projects in formulary optimization, utilization and population need trend analytics, and prior authorization automation.
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:
- Design and develop clinical AI and ML applications, leading the experimental lifecycle, target development, and operationalization strategy. Apply rigorous data science practices to ensure performance is robustly measured, safety and observability are prioritized, and deployment decisions are grounded in clear clinical and operational success criteria.
- Apply advanced analytics to evaluate complex financial and health outcome questions, helping partners understand the potential effects of changes to clinical policies, benefit design, and member programs. Develop models and scenario analyses to quantify tradeoffs, test assumptions, and characterize uncertainty, translating findings into actionable recommendations. Validate analytical methods and results to ensure conclusions are robust and appropriate for the decisions they inform.
- Collaborate closely with data leaders and business teams to enhance overall data processes, and lead execution with your team. Understand their needs and requirements, provide data support, and work together to develop solutions that improve processes and outcomes. Partner with business and technical stakeholders to prioritize opportunities, define success metrics, and guide experiments through evaluation and implementation.
- Compliance with all applicable laws and regulations.
- Other duties as assigned.
Requirements:
- A bachelor's degree or 6+ years of industry or educational experience in a technical field.
- 4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
- 4+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis
- 4+ years of experience with statistical modeling and data processing/ETL pipeline building
- 2+ years of experience working with and presenting to non-technical stakeholders
Bonus points:
- Experience in healthcare, finance or insurance industries, particularly pharmacy benefits or clinical operations.
- Experience developing and deploying AI/ML applications involving unstructured documents, with rigorous evaluation and production monitoring.
- Experience using statistical modeling to evaluate utilization trends, program effectiveness, or financial and health outcome tradeoffs, quantifying uncertainty.
- A master’s degree in a quantitative field plus 3 years of relevant experience, or a PhD in a quantitative field.
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
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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
The Senior Data Scientist, Pharmacy position supports our pharmacy benefit, developing data pipelines, models, and analytics that improve medication access, member experience, and plan affordability. Working with clinical, business, product, and engineering partners, you will lead projects in formulary optimization, utilization and population need trend analytics, and prior authorization automation. 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.