Data Scientist, Decisions – Driver Segments

The Driver team aims to provide a best in class driving and earnings experience that enables anyone to join the platform and make a living. As a Data Scientist on the Driver Segments team, you will collaborate with our world class team of engineers, product managers, and designers to design innovative ways to reward and recognize our best drivers who interact deeply with our app every day. This Scientist’s role will inform the driver experience of our most valuable drivers, improve their take home earnings and ensure these drivers find meaning in their work.

Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our Driver products and make business decisions that put drivers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features.

Responsibilities:

• Leverage data to provide insights around driver behavior and sentiment and identify improvement opportunities
• Apply analytics, inference and experimentation techniques to solve business problems
• Design and analyze experiments; communicate results to technical and non-technical audiences to act on launch decisions
• Establish metrics that measure the health of our driver products and driver experience
• Develop analytical frameworks and dashboards to monitor business and product performance
• Partner with product managers, engineers, and operators to translate analytical insights into decisions and action, and implement products to drive business goals
• Design and implement data pipelines to support data analysis and product implementation

Experience:

• Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
• 4+ years experience in a data science role 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
• Experience in online experimentation and statistical analysis, and communicating results and recommendations to senior stakeholders
• Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners
• Experience in applying machine learning techniques a plus (e.g. reinforcement learning) to solve customer problems (e.g. personalization, segmentation)
• Experience working with ETL pipelines a plus

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized 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, Wednesdays, and Thursdays. 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 $128,000 – $160,000. 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.