Senior Data Scientist, Fraud

Posted 2 Days Ago
New York, NY, USA
Hybrid
164K-215K Annually
Senior level
Healthtech • Insurance
Give people power over their healthcare.
The Role
Develops fraud detection data pipelines, machine learning models, and analytical tools using healthcare and insurance data. Partners with Special Investigations and Medical Economics teams to identify investigative leads, reduce avoidable costs, and translate business needs into technical solutions. Owns projects end to end, contributes to the fraud data science roadmap, and mentors junior data scientists.
Summary Generated by Built In

Hi, we're Oscar. We're hiring a Senior Data Scientist, Fraud 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 Senior Data Scientist, Fraud will help shape Oscar’s fraud data science capabilities and partner with the Medical Economics team and Special Investigations Unit (SIU) to turn Oscar’s data into investigative leads and tools that uncover potential fraud and reduce avoidable medical costs.

As a Senior Data Scientist on this team, you will partner closely with stakeholders to understand business challenges and identify opportunities for data science to drive impact. You will independently manage stakeholder relationships for your projects, translate business needs into technical solutions, and contribute to the fraud data science roadmap.

You will own projects end-to-end—scoping problems with stakeholders, designing the technical approach, implementing pipelines and models, validating outputs, and iterating after launch. Beyond individual projects, you will contribute to the team’s technical direction and mentor junior data scientists.

You will report to 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:

  • Design, build, and maintain data pipelines, machine learning models, and analytical tools supporting Oscar’s fraud detection and prevention efforts.
  • Partner closely with SIU and Medical Economics to understand business needs, translate them into data science solutions, and independently manage stakeholder relationships for your projects.
  • Own projects end-to-end, including problem definition, technical design, implementation, validation, and ongoing evaluation and improvement.
  • Interact and collaborate closely with data and business counterparts across functional areas
  • Work with your team and manager to identify opportunities and contribute to the fraud data science roadmap and longer-term technical direction.
  • Provide mentorship and technical guidance to junior data scientists.
  • Compliance with all applicable laws and regulations.
  • Other duties as assigned.

Requirements:

  • 4+ years of experience in data science or another quantitative technical field, which may include academia.
  • 3+ years of experience using 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 applying supervised or unsupervised machine learning techniques, such as predictive modeling, anomaly detection, clustering, or graph/network analysis, to identify potential fraud in healthcare, insurance, financial services, or other industries.

Bonus points:

  • Experience analyzing healthcare claims, provider billing patterns, or medical and pharmacy utilization data.

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 ([email protected]) 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.

Skills Required

  • 4+ years of experience in data science or another quantitative technical field, including academia
  • 3+ years of experience using SQL and Python to query, manipulate, and analyze data
  • 3+ years of experience building data models using advanced analytics methods, statistical modeling, and/or data processing
  • Experience applying supervised or unsupervised machine learning techniques, such as predictive modeling, anomaly detection, clustering, or graph/network analysis, to identify potential fraud
  • Experience analyzing healthcare claims, provider billing patterns, or medical and pharmacy utilization data

Oscar Health Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Oscar Health and has not been reviewed or approved by Oscar Health.

  • Healthcare Strength — Employer-sponsored medical coverage for employees and their families with mental-health support is prominently offered. Wellness programming and digital care access add to perceived strength.
  • Parental & Family Support — Paid parental leave of 10+ weeks, backup care, and family-forming support (including fertility and adoption benefits) are part of the package. Reproductive‑loss leave is also noted.
  • Leave & Time Off Breadth — Multiple time‑off options, wellness days, and an unlimited vacation program for some roles are described. Paid holidays, paid sick time, and a long‑tenure sabbatical broaden time‑away choices.

Oscar Health Insights

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The Company
HQ: New York, NY
2,400 Employees
Year Founded: 2012

What We Do

Oscar Health, Inc. (NYSE: OSCR) is a leading consumer health company that gives people power over their healthcare. Oscar Health serves millions of consumers, employers, brokers, and partners through Oscar Insurance, Lucie Health Marketplace, and Trove Group. Together these businesses deliver exceptional lifestyle products and technology platforms that make healthcare easy to choose, use, and experience.

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