At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

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. 

This role is for the Express Drive team within the Fleet organization. 

Lyft’s Fleet business started in 2016 with the mission of powering the world’s best transportation through fleet services that our customers can trust and depend on. Fleet supports Lyft’s drivers and riders by providing access to rental vehicles for drivers to earn both on and off of Lyft’s rideshare platform and by offering trusted and convenient car rental services for all Lyft users. Our Fleet team will lead Lyft’s efforts in a future built on electric vehicles and eventually autonomous vehicles.

The Express Drive program provides gig rentals to drivers and is building the capability to manage large fleets of vehicles for businesses, including buying and selling vehicles. We currently provide weekly vehicle rentals in over 35 regions across the country, offering a variety of vehicle types including hybrid and electric vehicles.

• Leverage data to build analytic frameworks to shape product and business cases for the Express Drive vehicle rental program
• Partner with product managers, engineers, and operators to translate analytical insights into decisions and action
• Design and analyze experiments; communicate results and act on launch decisions
• Develop analytical frameworks to monitor business and product performance

• Degree in a quantitative field (advanced degrees preferred), or relevant work experience
• Professional or educational experience with engineering or hard science fields. Hands-on experience with hardware engineering or hardware products preferred.
• 6+ years of industry or research experience in a data science or analytics role
• Proficiency in SQL - able to write structured and efficient queries on large data sets
• Experience in programming, especially with data science and visualization libraries in Python or R
• Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners 

• Great medical, dental, and vision insurance options
• Mental health benefits
• Family building benefits
• In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
• 401(k) plan to help save for your future
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Pre-tax commuter benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. 

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.

The expected base pay range for this position in the San Francisco area is $162,000 - $180,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.