Lead Data Scientist

Oscar Health•Tempe, AZ

8h•Hybrid

About The Position

The Lead Data Scientist, Claims will drive modeling and analytics for the core of our technology – our claims payment system. In this role, you will: Partner with operations and technology leaders in the design and implementation of initiatives to improve claims system performance Use sophisticated measurement and data mining techniques to drive deep and rapid insights Use data to achieve our goal of being the most automated and efficient insurer in the industry You will report into the Senior Director, Data Science. Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe 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

Requirements

6+ years of industry or other quantitative technical fields (which may include academia)
4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
4+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Nice To Haves

Advanced degree in a quantitative or technical field
Experience in the healthcare, finance and/or insurance industries

Responsibilities

Translates business goals into plans and tactics for the team
Works with more senior leaders to establish longer term strategies and roadmaps
Participates in team-wide technical and operations management responsibilities
Interacts and collaborates closely with data and business management across functional areas
Leads the research, development, and maintenance of data pipelines, statistical/ML models, and/or advanced analyses
Compliance with all applicable laws and regulations
Other duties as assigned