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LyftLyftSan Francisco, CA

Data Scientist, Decisions - Central Market Management

Data Scientist on Lyft's Central Market Management team, leading data-driven decision frameworks, measurement strategies, attribution models, and operational efficiency initiatives. Requires 3+ years in analytics/data science, strong SQL/Python skills, and ability to influence cross-functional strategy in ambiguous environments.

128k – 160k
Hybrid3+ YOEData Science

About the role

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
  • 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

Nice-to-Haves

  • Expertise in metric design, diagnostic analysis, forecasting, behavioral analytics, decision frameworks and measurement strategy
  • Experience working with financial data
  • Experience building and scaling monitoring systems and business health dashboards that identify anomalies, trends, and opportunities

Skills

SQLPythonData ScienceStatisticsForecastingMetric DesignDecision FrameworksBehavioral AnalyticsStatistical ModelingData VisualizationAttribution Frameworks

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