Senior Data Scientist, Decisions - Risk
About the position At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features. 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. You will serve as an analytical lead for claims and road safety initiatives, designing experiments and predictive models aimed at reducing accident frequency and claim severity to optimize long-term risk outcomes. If you are a problem-solver eager to apply high-level data science to real-world safety and financial challenges, this role offers a direct path to high-impact innovation.
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.
Requirements
- 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
- Strong oral and written communication skills, and ability to collaborate with cross-functional partners
Nice-to-haves
- Experience with insurance claims analytics a plus
Benefits
- Great medical, dental, and vision insurance options with additional programs available when enrolled
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- 401(k) plan with company match to help save for your future
- In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- Subsidized commuter benefits
- Monthly Lyft credits and complimentary Lyft Pink membership