Senior Data Scientist, Autonomous Vehicles

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. The future of Lyft is a hybrid network, where autonomous vehicles and human drivers serve riders side by side on one platform. That future has already started. In September 2026, Lyft riders in Nashville were matched with Waymo autonomous vehicles on the Lyft app for the first time, a milestone years in the making. Through Flexdrive, Lyft manages the depots, charging and maintenance that keep autonomous fleets on the road. Our partnerships now span Waymo in Nashville, May Mobility in Atlanta and Baidu in Europe, with more on the way. We are early, and the playbook for running a hybrid marketplace at scale hasn't been written yet. You will help write it.

The Global Growth organization is charting the future of Lyft's growth beyond North American rideshare's core products. This includes our premium Luxury modes and Livery drivers, building a unified Lyft presence internationally, and bringing Autonomous Vehicles (AVs) to riders domestically and abroad. As the Staff Data Scientist for AV, you will be the science leader for one of the most strategic bets at the company. You will set the vision for how we measure, optimize and grow autonomous rides on Lyft, and you will shape the strategy behind which partners we work with, which markets we enter and which products we build to win.

Responsibilities:

• Set the multi-year science vision and roadmap for AV at Lyft, and align engineering, product and partnership leaders around it
• Define the metrics framework for AV success, including incrementality, service quality and rider experience, and drive it into partner reviews and executive reporting
• Design and lead experiments and causal analyses on AV products, from rider onboarding to matching to post-ride experience
• Partner with central marketplace science teams to shape matching, pricing and supply models that work for a hybrid network
• Build the market sizing and business cases that guide where Lyft launches AVs next
• Represent Lyft science with AV partners and turn joint data into product improvements
• Mentor data scientists and analysts across Global Growth and help build the AV science team

Experience:

• Advanced quantitative background: Master's or PhD in Economics, Statistics, Operations Research, Applied Math, Computer Science or a related field, or equivalent high-impact industry experience
• 7+ years in applied data science or applied science, with a track record of work that changed product direction or business strategy
• Deep, hands-on experience with causal inference and experimentation, including experiment design in two-sided marketplaces, counterfactual analysis and measuring incrementality
• Experience setting the technical direction for a product area and influencing roadmaps across multiple teams
• Experience presenting to senior executives and external partners, and turning complex analysis into clear decisions
• Strong proficiency in Python and SQL

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan with company match to help save for your future
• Flexible paid time off policy
• Subsidized commuter benefits and Lyft ride credits