Lyft, Inc. logo

Staff Data Scientist, Decisions - Partnership, Loyalty & Pay

Job Overview

Location

New York, NY

Job Type

Full-time

Category

Data Scientist

Date Posted

July 2, 2026

Full Job Description

📋 Description

  • Join Lyft as a Staff Data Scientist, Decisions, a pivotal role within the Partnership, Loyalty & Pay (PLP) team, where your expertise will directly shape the future of rider and partner experiences. This position is instrumental in driving critical business decisions and enhancing our core products through advanced data science methodologies, ensuring Lyft continues to lead in the transportation industry.
  • As a Staff Data Scientist, you will be at the forefront of defining and executing the data science roadmap for the Partnership, Loyalty, and Pay teams. Your day-to-day will involve deep collaboration with cross-functional leaders in product, engineering, UX research, design, marketing, and business development to conceptualize, develop, and scale innovative, zero-to-one programs. You will be responsible for translating broad business needs into structured scientific roadmaps, identifying opportunities for improvement, and proposing data-centric recommendations that drive business strategy.
  • A core responsibility will be to define and meticulously maintain key objectives and metrics that align with the overarching goals of the Rider, Marketplace, and Lyft as a whole. This includes developing sophisticated measurement frameworks to assess the incrementality of partnerships, the retention impact of loyalty programs, and the overall health of our Pay products. You will leverage your expertise in modeling, advanced analytics, experimentation, and causal inference techniques, such as A/B testing, difference-in-differences, synthetic control, and quasi-experimental methods, to provide actionable insights and drive informed decision-making across the organization.
  • You will play a crucial role in driving cross-organizational impact and alignment, influencing product and business strategy through compelling, data-centric presentations to VP and C-level stakeholders. Your ability to communicate complex scientific results clearly and effectively will be paramount. Furthermore, you will serve as a thought leader and the go-to expert on measurement, incrementality, and causal inference for PLP stakeholders and dependency teams, advising them on best practices and elevating the team's analytical capabilities.
  • Beyond strategic contributions, you will provide invaluable technical guidance and mentorship to junior and mid-level team members. This includes leading code reviews, sharing expertise on solution design and implementation, and actively working to elevate team-wide technical standards and best practices in modeling and reasoning. Your dedication to mentoring fellow scientists and raising the bar for technical excellence will be a key aspect of this role, fostering a culture of continuous learning and improvement within the data science team.
  • The PLP team operates at the intersection of rider experience, partner engagement, and financial strategy, making this role critical to Lyft's continued growth and success. You will be empowered to challenge existing scientific premises and influence technical systems, steering product vision with a sharp product sense and a practical understanding of various causal methodologies. This is an opportunity to make a significant impact in a dynamic, fast-paced environment, contributing to a company that is revolutionizing transportation.
  • About the team and company: Lyft's purpose is to serve and connect, aiming to cultivate a work environment where all team members belong and have the opportunity to thrive. Data Science is central to Lyft's products and decision-making, operating in a dynamic environment that embraces moving quickly to build the world's best transportation. The company is committed to an inclusive workplace that fosters belonging, and all qualified applicants are considered for employment without regard to various protected characteristics.
  • What you can learn or achieve: In this role, you will gain unparalleled experience in applying cutting-edge causal inference and machine learning techniques to solve complex, real-world business problems at scale. You will have the opportunity to influence high-level strategic decisions, work with executive leadership, and mentor a team of talented data scientists. You will deepen your expertise in areas like incrementality measurement, partnership effectiveness, loyalty program design, and payment systems, contributing directly to Lyft's mission and growth. This position offers a unique chance to grow as a technical leader and a strategic partner within a leading technology company.
  • Great medical, dental, and vision insurance options with additional programs available when enrolled.
  • Comprehensive mental health benefits and family building benefits.
  • Generous paid time off, including discretionary time off for salaried team members and 15 days for hourly team members, plus 18 weeks of paid parental leave for all eligible parents.
  • 401(k) plan with a company match to support your long-term financial future, along with subsidized commuter benefits and monthly Lyft credits with a complimentary Lyft Pink membership.

Skills & Technologies

Python
Data Science
Senior
Hybrid
$176k-220k
Degree Required

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Lyft, Inc. logo
Lyft, Inc.
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About Lyft, Inc.

Lyft is a transportation network company that offers ride-sharing services through a mobile app. Users can request rides from drivers using their own vehicles. The company operates in numerous cities across the United States and Canada, providing a convenient and often more affordable alternative to traditional taxis. Lyft's business model relies on connecting riders with drivers, taking a commission on each fare. Beyond standard rides, Lyft also offers services like shared rides, premium vehicles, and bike/scooter rentals in select markets, aiming to be a comprehensive urban mobility solution.

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