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 core of Lyft’s business is running a balanced marketplace; ensuring there are enough drivers available to fulfill rider demand. As a member of the Central Market Management team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists in Central Market Management take on a variety of problems including forecasting supply & demand in the marketplace, optimizing investments over different time-scales, measuring long-term effects of various growth levers, and shaping strategic business decisions. Statistical inference, forecasting, machine learning (ML), and optimization technologies are critical to solving these interesting and impactful problems at Lyft. Our problems generally do not lend themselves to off-the-shelf solutions, allowing for a significant amount of creativity and first-principles mathematical reasoning.
As a Data Scientist, you’ll be hands-on with driving the measurement of long-term effects and return-on-investment of various levers. You’ll build models that leverage observational and experimental Causal Inference methods, productionize pipelines, and integrate their results with decision-making frameworks. The ideal candidate should have strong experience developing and applying Causal Inference methods, balance complexity and efficiency, move fast with an entrepreneurial mindset, and be hands-on to make things happen.
Responsibilities:
- Collaborate with stakeholders from a diverse set of teams to design new experimental and observational methods to improve Lyft’s measurement of long-term efficiency of investments. Advise teams on best practices. Be a thought leader and a go-to expert.
- Build observational and experimental causal inference models and integrate their outputs into investment decision-making frameworks.
- Prioritize and lead deep dives into our data to uncover new product and business opportunities.
- Facilitate and foster data-driven and informed decision making and prioritization.
- Present findings, recommendations, and results to senior leadership and cross-functional stakeholders.
Experience:
- M.S. or Ph.D. in Statistics, Economics, Operations Research, Mathematics, Computer Science, or other quantitative fields or related work experience.
- 2+ years of hands-on industry experience in causal inference or data science.
- Track record of using statistics and guiding teams through unstructured technical problems to deliver business impact.
- Proficient in SQL and Python (R or Matlab is a plus).
- Strong ability to collaborate and communicate with others in a team setting.
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 base pay range for this position in San Francisco is $139,000 - $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.
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