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

• Strong communication, critical thinking, and prioritization skills

Skills

• SQL
• Python

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

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

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 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.