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.

The Marketplace team at Lyft is responsible for accelerating the growth of the business and for delivering our top business/company goals around financial metrics and marketplace performance, and the Pricing vertical is an integral part of achieving this goal. Our team is responsible for setting the prices for every single ride at Lyft, across all rides types, in order to balance Lyft’s two-sided marketplace, which sees millions of requests each day.

We’re looking for fast learning, data and process-driven individuals who are passionate about tackling open-ended problems in pricing theory. In this role, you will work with Product and Engineering to prototype and build end-to-end pricing models that can operate at scale. In addition, you will be expected to leverage your domain knowledge and influence existing and future roadmaps to help Lyft continue to deliver a better experience for riders and drivers.

Responsibilities:

• Partner with other scientists, colleagues in the pricing team, and with external teams to formalize problems mathematically and within the business context
• Perform complex data analysis to gain a deeper understanding of problems by identifying their root causes
• Develop and fit statistical, machine learning, or optimization models
• Write production model code; collaborate with Software Engineers to implement algorithms in production
• Design and implement both simulated and live experiments
• Analyze experimental and observational data; facilitate launch decisions
• Communicate findings to a broad audience consisting of Product, Engineering, and executive leadership

Experience:

• Data Scientist with experience in Machine Learning, Statistics, Economics, or other quantitative fields
• M.S. or Ph.D. in Computer Science, Economics, Statistics, Mathematics, or other quantitative fields
• 1-4+ years of professional experience for PhDs or 3-5+ years for Master’s in a data scientist role 
• Passion for solving unstructured and non-standard mathematical problems
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Proficiency with Python, or another interpreted programming language like R or Matlab
• Proficiency in SQL - able to write structured and efficient queries involving multiple large data sets
• Strong oral and written communication skills, and ability to solve problems while collaborating with cross-functional partners
• Experience in causal inference, LTV modeling, or user choice modeling preferred

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.

The expected range of pay for this position in the San Francisco area is $144,000 - $180,000. 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.