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.
Lyft connects people to transportation to change the way we live and get around our communities. Lyft is also the country's leader in micromobility. We own and/or operate bikeshare in New York (Citi Bike), Chicago (Divvy), San Francisco (Bay Wheels), Portland (Biketown), Boston (BlueBikes), DC (Capital Bikeshare), and Minneapolis (Nice Ride) while providing scooter service in those and other major cities across the country. Our active fleet includes state-of-the-art electric bikes and scooters, services tens of millions of rides per year, and is rapidly growing.
Data Science is at the heart of Lyft’s products and decision-making. As a member of the Data 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. We’re looking for a passionate, driven Data Scientist Manager to take on some of the most interesting and impactful problems and lead some of the best scientists in the industry.
Our business is growing rapidly, and we’re looking for a data science leader with the ability and experience to help us scale. As a leader on the Operations Technology team, you’ll help develop the vision and lead execution of the platform for operating our bike and scooter-share systems profitably at scale. You’ll be managing data scientists, and also building relationships and partnering with product and operations teams. The ideal candidate can navigate complex technical topics, strategic problem solving, and team development to deliver business impact. If you’re driven, collaborative, resourceful, and can communicate complex ideas with ease, then we’d like to talk to you.
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. #Hybrid
The expected base pay range for this position in the San Francisco area is $200,000 - $250,000. 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.Yearly based
San Francisco, CA