Lead Data Scientist

Hi, we're Oscar. We're hiring a Lead Data Scientist 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:

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

Pay Transparency: The base pay for this role is: $174,400 - $228,900 per year. You are also eligible for employee benefits, company equity grants, and annual performance bonuses.

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

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

Bonus points:

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