Data Scientist, Decisions - Central Market Management

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

Requirements

• 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
• Prowess in challenging assumptions, proposing alternatives, and balancing 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

Qualifications

• Experience working in a dynamic environment, moving quickly to build the world’s best transportation solutions
• 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

Skills

• Data analysis
• Decision-making
• Project management
• Technical leadership

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
• 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
• Lifted Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Pay

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.

Schedule

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.

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.