Tech Stack

Description

As a Senior Data Scientist on the Risk Solutions team, you'll leverage large-scale data and analytics to reduce accident frequency and claim severity, partnering cross-functionally to drive safety and financial outcomes for Lyft.

Requirements

• Degree in a quantitative field (statistics, actuarial science, economics, applied math, operations research, or engineering); advanced degree preferred
• 5+ years of industry experience in data science, analytics, or management consulting
• Proficiency in SQL and Python
• End-to-end experience with data: querying, aggregation, analysis, and visualization
• Ability to manage, influence, and collaborate with cross-functional partners

Responsibilities

• Leverage large-scale data and analytic frameworks to identify high-impact opportunities to reduce 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