Staff Data Scientist, Algorithms

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Data Science is at the heart of Lyft’s products and decision-making. We are hiring a Staff Data Scientist to join the Base Earnings team. This cross-functional team is responsible for setting pay for every Lyft rideshare ride, as well as ensuring compliance with our regulatory and policy commitments regarding pay. We seek a passionate data scientist to drive business performance and driver satisfaction, and to develop new pay policies in support of new business areas (e.g., autonomous vehicles, European expansion).

In this role, you will leverage data, machine learning, optimization, experimentation, and inference techniques to develop and maintain Lyft’s pay policies. Your technical impact will contribute directly to company-level metrics, including profit, rides completed, and driver sentiment. Leveraging your knowledge and experience, you will influence the technical growth of the cross-functional Base Earnings team - both as individuals and as a team.

Responsibilities:

• Implementation: Lead implementation, experimentation, deployment, and science operations for business critical driver pay algorithms


• Strategy: Collaborate with engineers, product managers, and others to define Lyft’s pay policy roadmap and respond to emerging technical and business challenges


• Team Development: Help raise the technical bar within the team through process definition, defining standards, mentoring, and providing timely feedback


• Operations: Define and manage key performance metrics; lead deep dives into performance anomalies and opportunities


• Subject Matter Expert: Be an expert on our pay policies and associated data sources

Experience:

• M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, Physics, Engineering, Economics or other quantitative fields


• 6+ years professional experience


• Familiarity with machine learning, optimization and causal inference, with staff-level experience and expertise in at least one


• Experience developing and operating automated decision-making algorithms


• Significant technical project or team leadership experience


• Proficient writing production-quality Python code


• End-to-end experience with data, including querying, ETL, monitoring, analysis, and visualization


• Strong verbal and written communication skills, and ability to collaborate and communicate with others to solve a problem

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 employer committed to an inclusive workplace that fosters belonging. 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, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. 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. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. 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 $176,000 - $220,000. 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.

Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.