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.
About the job
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
SQL, Python, Data Science, Statistics, Forecasting, Metric Design, Decision Frameworks, Behavioral Analytics, Statistical Modeling, Data Visualization, Attribution Frameworks
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