Senior Data Scientist, Fraud

Oscar Health•New York, NY

3d•$163,944 - $215,176•Hybrid

About The Position

Oscar is hiring a Senior Data Scientist to join its Data Team and help shape the company’s fraud data science capabilities. The role partners with the Medical Economics team and Special Investigations Unit (SIU) to turn healthcare and insurance data into investigative leads and tools that uncover potential fraud and reduce avoidable medical costs. The Senior Data Scientist works closely with stakeholders to understand business challenges, identify opportunities for data science, translate business needs into technical solutions, and manage stakeholder relationships for assigned projects. The role owns projects end-to-end, from scoping and technical design through implementation, validation, launch, and ongoing improvement. It also contributes to the fraud data science roadmap and technical direction and provides mentorship to junior data scientists. The position reports to the Director, Data Science. It is based in Oscar’s New York City office and follows a hybrid schedule requiring three office days per week. Thursdays are required in-office; the other two office days are flexible.

Requirements

At least 4 years of experience in data science or another quantitative technical field, which may include academia.
At least 3 years of experience using SQL and Python to query, manipulate, and analyze data.
At least 3 years of experience building data models and 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 in healthcare, insurance, financial services, or other industries.

Nice To Haves

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

Responsibilities

Design, build, and maintain data pipelines, machine learning models, and analytical tools for fraud detection and prevention.
Partner with the Special Investigations Unit (SIU) and Medical Economics to understand business needs and translate them into data science solutions.
Independently manage stakeholder relationships for assigned projects.
Own projects end-to-end, including problem definition, technical design, implementation, validation, evaluation, and improvement.
Collaborate with data and business counterparts across functional areas.
Identify opportunities and contribute to the fraud data science roadmap and longer-term technical direction.
Provide mentorship and technical guidance to junior data scientists.
Comply with all applicable laws and regulations.
Perform other duties as assigned.