Data Scientist, Decisions - Central Market Management

Posted 7 Days Ago
San Francisco, CA, USA
In-Office
128K-160K Annually
Mid level
Transportation
The Role
Lead decision-science initiatives to improve operational efficiency and financial outcomes. Design decision frameworks, attribution and measurement strategies, forecasting and monitoring systems. Produce production-quality Python/SQL code, guide other data scientists, and translate analyses into actionable recommendations for cross-functional stakeholders.
Summary Generated by Built In

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. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products.

We are looking for an experienced and highly motivated Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You’ll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. 

Responsibilities
  • Leverage data and analytical frameworks to identify opportunities for improving operational efficiency
  • Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty
  • Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope
  • Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions
  • Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence
  • Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets
  • Be proactive in pursuing opportunities and have a true ownership mindset to get things done
  • Contribute to the Science community (hiring, onboarding, documentation, knowledge-sharing, tooling improvements), helping make Decision Science at Lyft more effective and scalable
Experience
  • Bachelor’s, Master’s, or PhD in a quantitative field such as Statistics, Economics, Computer Science, Engineering, Applied Mathematics, or related discipline; or equivalent practical experience.
  • 3+ years of industry experience in decision science, analytics, statistics, or data science, with a track record of influencing strategy and business outcomes through data.
  • Demonstrated ability to own multi-project analytical scopes with ambiguous problem definitions and cross-functional integration.
  • Expertise in metric design, diagnostic analysis, forecasting, behavioral analytics, decision frameworks and measurement strategy is a plus.
  • Proficiency in SQL, Python, and tools for data manipulation, statistical modeling, visualization, and reproducible pipelines.
  • Ability to translate analytical insights into clear, actionable recommendations for both technical and executive audiences.
  • Proven success driving alignment and influencing cross-functional teams in fast-paced, ambiguous, high-stakes environments.
  • Strong communication, critical thinking, and prioritization skills, including the ability to challenge assumptions, propose alternatives, and balance short-term vs. long-term tradeoffs.
  • Experience working with financial data is a plus.
  • Experience building and scaling monitoring systems and business health dashboards that identify anomalies, trends, and opportunities.
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 $128,000 - $160,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are 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.

Skills Required

  • Bachelor's, Master's, or PhD in a quantitative field (or equivalent practical experience)
  • 3+ years industry experience in decision science, analytics, statistics, or data science
  • Proficiency in SQL and Python for data manipulation, modeling, and reproducible pipelines
  • Experience designing metrics, diagnostic analysis, forecasting, and measurement frameworks
  • Experience building and scaling monitoring systems and business health dashboards
  • Ability to translate analytical insights into clear, actionable recommendations for technical and executive audiences
  • Proven success driving alignment and influencing cross-functional teams in fast-paced, ambiguous environments
  • Demonstrated ability to own multi-project analytical scopes with ambiguous problem definitions
  • Act as a technical lead and mentor other Data Scientists
  • Expertise in metric design, diagnostic analysis, forecasting, behavioral analytics, decision frameworks and measurement strategy
  • Experience working with financial data

Lyft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lyft and has not been reviewed or approved by Lyft.

  • Healthcare Strength Corporate materials describe comprehensive medical, dental, and vision coverage with added access to One Medical and mental-health support, indicating a solid core health offering. This breadth positions health benefits as a relative strength for full-time employees.
  • Parental & Family Support Company information highlights paid parental leave for new parents, with flexibility in how time can be taken. This signals strong family support within the corporate package.
  • Leave & Time Off Breadth U.S. salaried employees have unlimited paid time off alongside company holidays, and hourly roles receive structured PTO and sick time. These policies point to ample time-off availability compared with many roles.

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The Company
HQ: San Francisco, CA
22,282 Employees

What We Do

Lyft was founded in 2012 by Logan Green and John Zimmer to improve people’s lives with the world’s best transportation, and is available to approximately 95 percent of the United States population as well as select cities in Canada. Lyft is committed to effecting positive change for our cities by offsetting carbon emissions from all rides, and by promoting transportation equity through shared rides, bikeshare systems, electric scooters, and public transit partnerships.

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