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.

Responsibilities:

• Build and lead a high-performing team of data scientists
• Work with cross-functional partners in product, engineering, design, finance, and operations to achieve business goals
• Prioritize and lead deep dives into our data to uncover new product and business opportunities
• Prioritize and lead development of productized models to automate operational decision-making and drive operational productivity
• Develop analytical frameworks, roadmaps, and metrics for the team and broader organization
• Collaborate with other leaders and executives to build data-informed business strategy and product roadmaps
• Serve as a champion of sound decision-making at all levels of the company

Experience:

• Degree in a quantitative field like statistics, economics, applied math, operations research or engineering (advanced degrees are preferred) or relevant work experience
• 7+ years of hands-on technical experience in a data science role or equivalent
• 4+ years management experience building and leading data science teams
• Track record of guiding teams through unstructured technical problems to deliver business impact
• Skilled at managing cross-functional relationships and communicating with leadership across multiple teams
• Willingness to collaborate and communicate with others to drive cross-team and cross-organization initiatives forward

Benefits:

• 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. #Hybrid