Pay
In line with similar jobs
$164K–$215K against $166K–$240K, the middle half of what similar US postings state.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Senior Data Scientist, AI Enablement
Reads like a ML Engineer role: putting models into production.
New York, New York, United States
Live, first seen by us 35 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 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. #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 for AI Enablement, you will sit at the intersection of data science, data engineering, and artificial intelligence.
Lead design and deployment of AI-driven self-serve analytics products, from prototype to production
Experiment with new models and tools, choosing by measured quality, reliability, performance and cost
Build evaluations and monitoring for analytical accuracy, generated queries and AI insights
Work with AI engineers, software engineers and business leaders to integrate data workflows into applications
Help shape the technical direction and roadmap for AI-enabled analytics
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.
As a Senior Data Scientist for AI Enablement, you will sit at the intersection of data science, data engineering, and artificial intelligence. You will be responsible for designing, building, and maintaining AI-powered analytical systems and pipelines that empower our internal stakeholders to self-serve their data needs. This is a builder-focused role: the ideal candidate is a data scientist with a strong engineering background (or vice versa) who is energized by turning ambiguous workflows into well-engineered, LLM-augmented data tools and automated insights.
Lead the design, development, and deployment of AI-driven self-serve analytics products, from zero-to-one prototypes to robust production systems.
Rapidly experiment with new models, techniques, and tools, selecting approaches based on measured quality, reliability, performance, and cost.
Establish evaluations and monitoring for analytical accuracy, generated queries, and AI-generated insights
Collaborate cross-functionally with AI engineers, software engineers, and business leaders to deeply understand user needs and seamlessly integrate your data workflows into broader software applications.
Help shape Oscar’s technical direction and roadmap for AI-enabled analytics.
What you’ll bring
All qualificationsCore experience
- 4+ years of industry or other quantitative technical fields (which may include academia).
- Experience integrating advanced agentic workflows into analytical tools and automated pipelines.
- 3+ years of experience working with SQL and Python to query, manipulate, and analyze data
- Experience with the healthcare industry.
- 2+ years of experience with LLMs, prompt engineering, and GenAI concepts, with a track record of applying them to practical use cases.
- Familiarity with claims or clinical data.
Qualification wording
4+ years of industry or other quantitative technical fields (which may include academia).
Experience integrating advanced agentic workflows into analytical tools and automated pipelines.
3+ years of experience working with SQL and Python to query, manipulate, and analyze data
Experience with the healthcare industry. Familiarity with claims or clinical data.
2+ years of experience with LLMs, prompt engineering, and GenAI concepts, with a track record of applying them to practical use cases.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 5, 202635 days ago
- Recorded sightings
- 126
- 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 35
Similar jobs usually come down between day 7 and day 72.
At Oscar Health, jobs usually come down by about day 46.
From 4,777 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.
- Hiring has slowed
- 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
Where the posting names them
- 4+ years of industry or other quantitative technical fields (which may include academia). - 3+ years of experience working with SQL and Python to query, manipulate, and analyze data - 2+ years of experience with LLMs, prompt engineering, and GenAI concepts, with a track record of applying them to practical use cases.
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 ML Engineer roles
New ML Engineer postings at the employers we follow are up 13% 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 ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Hi, we're Oscar. We're hiring a Senior Data Scientist, AI Enablement 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.
As a Senior Data Scientist for AI Enablement, you will sit at the intersection of data science, data engineering, and artificial intelligence. You will be responsible for designing, building, and maintaining AI-powered analytical systems and pipelines that empower our internal stakeholders to self-serve their data needs. This is a builder-focused role: the ideal candidate is a data scientist with a strong engineering background (or vice versa) who is energized by turning ambiguous workflows into well-engineered, LLM-augmented data tools and automated insights.
You will act as a foundational driver for AI Enablement for Data. You will be expected to operate with a high degree of independence, taking projects from initial conception to launch. While you will own these workflows end-to-end, you won’t be building in a silo. This is a highly cross-functional position where you will partner closely with a talented group of AI engineers, software engineers, data scientists, and business stakeholders to bring scalable, production-ready solutions to life.
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. #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:
- Lead the design, development, and deployment of AI-driven self-serve analytics products, from zero-to-one prototypes to robust production systems.
- Rapidly experiment with new models, techniques, and tools, selecting approaches based on measured quality, reliability, performance, and cost.
- Establish evaluations and monitoring for analytical accuracy, generated queries, and AI-generated insights, including how systems handle ambiguous questions and unsupported conclusions.
- Collaborate cross-functionally with AI engineers, software engineers, and business leaders to deeply understand user needs and seamlessly integrate your data workflows into broader software applications.
- Help shape Oscar’s technical direction and roadmap for AI-enabled analytics.
- 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 experience working with SQL and Python to query, manipulate, and analyze data
- 2+ years of experience with LLMs, prompt engineering, and GenAI concepts, with a track record of applying them to practical use cases.
- 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
- Experience acting as a primary driver of technical projects, operating independently to scope and deliver solutions from end-to-end.
Bonus points:
- Experience integrating advanced agentic workflows into analytical tools and automated pipelines.
- Experience with the healthcare industry. Familiarity with claims or clinical data.
- Experience with headless semantic layers, such as Cube or MetricFlow.
- Our ideal candidate is a data scientist with an AI engineering background or an AI engineer with a data science background.
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 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. #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.