Senior Data Scientist, Fraud Detection (Healthcare)

Oscar Health, Inc.; New York (NY); Hybrid; USD 164,000 - 215,000; Full time

Benefits offered by this job

Unlimited vacation

Equity grants

Annual performance bonuses

Medical/dental/vision benefits

Job summary

Oscar Health, Inc. is hiring a Senior Data Scientist, Fraud to join our Data Team in New York. This role partners with SIU and Medical Economics to transform data into investigative leads and tools, guiding fraud detection and cost reduction initiatives. You will own projects end-to-end and mentor junior data scientists in a hybrid NYC setting.

You will report to the Director, Data Science and collaborate across teams to architect scalable fraud data science solutions that drive business impact.

Qualifications

• 4+ years of experience in data science or another quantitative field.
• 3+ years of experience using SQL and Python to query, manipulate, and analyze data.
• 3+ years building data models and using advanced analytics methods, statistical modeling, and/or data processing.
• Experience applying supervised or unsupervised machine learning techniques to identify potential fraud in healthcare, insurance, financial services, or other industries.

Responsibilities

• Design, build, and maintain data pipelines, ML models, and analytical tools for fraud detection and prevention.
• Partner with SIU and Medical Economics to translate business needs into data science solutions and manage stakeholder relationships.
• Own end-to-end projects from problem definition to implementation, validation, and ongoing improvement.
• Collaborate with data and business counterparts across functions to drive impact.
• Contribute to fraud data science roadmap and longer-term technical direction.
• Mentor junior data scientists and provide technical guidance.

Skills

Data science

SQL

Python

Machine learning

Job description

Oscar Health, Inc. is hiring a Senior Data Scientist, Fraud to join our Data Team in New York. This role partners with SIU and Medical Economics to transform data into investigative leads and tools, guiding fraud detection and cost reduction initiatives. You will own projects end-to-end and mentor junior data scientists in a hybrid NYC setting.

You will report to the Director, Data Science and collaborate across teams to architect scalable fraud data science solutions that drive business impact.