Staff Data Scientist
Lyft•San Francisco, CA
Full-timeLead
👁️ 0 views•📝 0 applications•Posted 7/13/2026•Expires 8/12/2026
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Job Description
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. As a member of the Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. As a Data Scientist, Decisions in the Rider team, you will leverage data and apply analytical thinking and inference to shape our rider and partner product vision and make business decisions that put our customers first. You will identify improvement opportunities, propose and implement technical solutions, design experiments, and measure the impact of your team’s decisions. You will partner closely with product, engineering, design, research, marketing and business development to deliver products end-to-end. You will also collaborate and build alignment with adjacent teams outside of Rider to balance driver, rider and marketplace needs. We’re looking for well-rounded, passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing. Responsibilities: Drive roadmap across Rider Segments, Loyalty and Partnerships teams. Be a primary participant in defining team goals and setting the priorities of projects for the team to address. Partner with org leads in product, engineering, UX research, design and marketing to initiate, design, develop and scale zero-to-one products and drive business strategy through data-centric presentations Define and maintain key objectives to align with the overarching goals of Rider, Marketplace and Lyft. Apply modeling, advanced analytics, experimentation and causal
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