Summary written by USA Jobs 24 from Oscar Health's advert and our data on 16,958 current US jobs. How we check every job
At a glance
Oscar Health is hiring a Senior Data Scientist, Lucie in New York, NY. It is a full-time role in Data, AI & Analytics, asking for at least 4 years of experience, first listed on November 7. The advertised pay is $163,944–$215,176 a year. The description mentions Statistics, Machine learning, SQL and Python. Oscar Health has 99 other openings in the US, 63 of them in New York, NY. Across all employers on USA Jobs 24 there are 394 Data & AI openings in New York, NY today; the typical one asks for 5 years and advertises about $219,000 a year at the midpoint.
How the pay compares
Oscar Health advertises $163,944 to $215,176 a year, a midpoint of $189,560 a year. Where an offer lands in a range usually depends on experience and on the exact location. That is lower than about 68% of the 327 data & AI jobs in New York that publish a yearly rate on USA Jobs 24, where the typical midpoint is $215,000 a year. To see roughly what this leaves after federal and New York tax, try our take-home pay calculator.
Skills in this advert
How often each skill named in this advert appears across the 1,797 data & AI jobs we list today. Python is the most widely requested (45% of jobs), while Statistics is the least common (20%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on Oscar Health's Greenhouse site on November 7 and checked it again November 7, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in New York, NY. If you would need to move, ask whether relocation help is offered.
- Match the experience. The advert asks for at least 4 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as Statistics, Machine learning and SQL, wherever they are true for you. Our resume guide shows how.
- Know your number. Decide the lowest offer you would accept before the first call. Our salary negotiation guide explains how to ask for more.
- Apply only through Oscar Health's own site. Our Apply button goes straight to Oscar Health's Greenhouse page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Oscar Health
Oscar Health has 100 openings on USA Jobs 24 today across 7 states. Most are in healthcare & pharma (22), product & design (10) and data & AI (8). The biggest locations are New York, NY (64), Tempe, AZ (23) and Dallas, TX (6). 35% of them are remote, 4% are open to entry-level candidates and 97% show pay. We collect Oscar Health's jobs every day straight from its own careers system (Greenhouse), never from job boards or agencies.
The employer's advert
This is Oscar Health's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from Oscar HealthHide the advert677 words
Hi, we're Oscar. We're hiring a Senior Data Scientist, Lucie 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.
Lucie is Oscar’s new all-in-one storefront that transforms how consumers shop for healthcare. As a Senior Data Scientist on the team, you will help to strategize, build, and measure the launch of the business and product. This is a highly dynamic role - you will work with both legacy data and systems as well as building modern infrastructure and models.
You will partner closely with product, engineering, operations, and business leads to scope new problems and opportunities, and bring them to life. This is a builder-focused role: the ideal candidate is energized by working in an ambiguous space and transforming 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.
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 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses.
Responsibilities:
- Works with team and manager to impact longer term strategies and roadmap
- Independently proposes and executes shorter term roadmap for team
- Interacts and collaborates closely with data and business counterparts across functional areas
- Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses
- 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, R, and/or Python to query, manipulate and analyze data
- 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
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.
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.
USA Jobs 24 copied this listing from Oscar Health's official careers site on November 7, 2026 and checked it again November 7, 5:17 AM ET. Oscar Health will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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