Senior Data Scientist, Fraud

United States·New Yorksenior

Data ScientistData

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Quick Summary

Key Responsibilities

Design, build, and maintain data pipelines, machine learning models, and analytical tools supporting Oscar’s fraud detection and prevention efforts.

Requirements Summary

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.

Technical Tools

Data ScientistData

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

~1 min read

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.

Responsibilities

~1 min read

→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

~1 min read

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.

Nice to Have

~2 min read

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 (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.

Location & Eligibility

Where is the job

New York, United States

On-site at the office

Who can apply

About this job

Pay per year: $163,944–$215,176 a year; 3% above the $184,750 median for Data Scientist jobs on Jobera (908 salaries).
Who can apply: United States
Posted: Today
Employer: has 220 open jobs on Jobera.