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 Rider 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 passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing.

As a Data Scientist, Decisions in the Rider team, you will leverage data and rigorous, analytical thinking to shape our rider app and make business decisions that put our customers first. You will identify and scope opportunities, shape priorities, recommend technical solutions, design experiments, and measure impact. You will bring a quantitative mindset to decision-making in partnership with product, design, engineering, business, and operations stakeholders throughout the organization. 

You will report to a Data Science Manager in the Rider Science team.

Responsibilities:

• Lead deep dives into rider experience and marketplace data to uncover new product and business opportunities 
• Establish metrics that measure the health of our products and rider experiencePartner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and actions
• Define experimentation best practices, design and analyze online experiments; communicate results and facilitate launch decisions
• Facilitate and foster data-driven and informed decision making and prioritization
• Present findings, recommendations, and results to senior leadership and cross-functional stakeholders

Experience:

• Master or PhD degree in a quantitative field such as statistics, applied math, operations research, economics or engineering (advanced degrees preferred)
• 3+ years experience in strategic data science roles (experience in ML modeling development is a plus)
• Proven experience in leading high visibility projects and influencing others in a cross-functional team environment
• Proficiency in SQL - able to write structured and efficient queries on large data sets
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Strong business sense and understanding of experimentation methodologies
• Experience in online experimentation and statistical analysis.
• Experience in programming, especially with data science and visualization libraries in Python 
• Strong oral and written communication skills, and ability to collaborate with and influence cross-functional and cross-team partners

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 Progra

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 San Francisco is $124,000 - $155,000. 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.