About the Role
Data Science is at the heart of Lyft’s products and decision-making. As a Data Scientist on the Risk Solutions team, you will drive a mission critical to both the safety of our community and the financial resilience of our platform. You’ll partner cross-functionally with Product, Engineering, Actuarial and Claims teams to transform complex data into actionable strategies. This role offers a direct path to high-impact innovation for problem-solvers eager to apply high-level data science to real-world safety and financial challenges.
Responsibilities
- Leverage large-scale data and analytic frameworks to identify high-impact opportunities to reduce the total cost of claims.
- Partner with product managers, engineers, actuaries, claims, and operators to translate data insights into decisions and action.
- Construct and fit statistical, machine learning, or optimization models.
- Design and analyze online experiments; communicate results and act on launch decisions.
- Develop analytical frameworks to monitor business and product performance.
- Establish metrics that measure the health of our products, the business, as well as the driver experience.
- Collaborate with the Claims team to identify high-impact opportunities where data-driven interventions can reduce the total cost of claims.
Experience
- Degree in a quantitative field such as statistics, actuarial science, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience.
- 5+ years of industry experience in a data science, analytics, or management consulting role.
- End-to-end experience with data, including querying, aggregation, analysis, and visualization.
- Ability to manage, influence, negotiate, and inspire others in a fast-moving environment.
- Proficiency in SQL and Python.
- Experience with insurance claims analytics a plus.
- Strong oral and written communication skills, and ability to collaborate with cross-functional partners.