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

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.

Data Scientist, Decisions - Central Market Management

Responsibilities

Qualification

Required

Benefits

Company

Lyft

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