Senior Data Scientist, Rider New Products jobs in United States
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Lyft · 1 hour ago

Senior Data Scientist, Rider New Products

Lyft is a company focused on serving and connecting people, aiming to create an inclusive work environment. The Senior Data Scientist for the Rider New Products team will leverage advanced causal inference techniques to measure the impact of new product features and drive innovation within the company.

AppsMobile AppsRide SharingSoftwareTaxi ServiceTransportation
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H1B Sponsor Likelynote

Responsibilities

Own complex, open-ended incrementality measurement problems. Translate ambiguous product launches into concrete causal frameworks and experimental designs
Lead high-impact Causal Inference initiatives. Drive innovation by introducing advanced measurement techniques to quantify the incremental impact of new rider features
Partner deeply with Product, Engineering, and Finance. Define the technical vision for how Lyft evaluates innovation, ensuring that we move beyond simple correlations to understand the long-term drivers of rider behavior and value
Design and build production-grade measurement systems. Develop and deploy robust causal models pipelines that balance high scientific rigor with the practical constraints
Establish robust evaluation frameworks. Ensure that the "engine of innovation" is steering the business toward sustainable, incremental growth
Build reusable science infrastructure. Create internal libraries and best practices for causal discovery and automated measurement
Mentor and guide junior/mid-level scientists. Serve as a technical advisor on experimental design, statistical modeling, and fostering a culture of scientific excellence

Qualification

Causal InferenceAdvanced Measurement TechniquesPythonSQLStatistical ModelingExperiment DesignMentoringCross-functional CollaborationCommunication Skills

Required

Master's or PhD in Economics, Statistics, Applied Math, Computer Science or equivalent high-impact industry experience
3+ Years of Applied Experience: Proven track record in applied science or data science, with a focus on deploying causal models that drive measurable business outcomes
Deep product intuition and hands-on experience with causal methods
Strong proficiency in Python and SQL
Experienced in defining and executing sophisticated evaluation strategies, including advanced experiment design and counterfactual analysis to isolate incrementality
Proven ability to align cross-functional partners, influence technical architecture, and challenge scientific assumptions to guide high-level product strategy
Excellent ability to articulate complex causal concepts, trade-offs between rigor and speed, and scientific findings to both technical peers and executive stakeholders

Preferred

Demonstrated ability to own high-stakes, open-ended problem spaces, translating vague business questions into rigorous scientific roadmaps
Experience in mentoring other scientists, elevating the bar for technical quality, and establishing best practices for modeling and scientific reasoning

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 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
Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Company

Lyft is a leading ride-hailing service offering car rentals, bike, and scooter-sharing through its mobile app for convenient transportation.

H1B Sponsorship

Lyft has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (137)
2024 (100)
2023 (132)
2022 (287)
2021 (266)
2020 (281)

Funding

Current Stage
Public Company
Total Funding
$5.76B
Key Investors
FidelityMagna InternationalCapitalG
2025-09-03Post Ipo Debt· $450M
2024-02-21Post Ipo Debt· $400M
2021-02-01Post Ipo Equity

Leadership Team

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David Risher
Chief Executive Officer
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Erin Brewer
Chief Financial Officer
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Company data provided by crunchbase