Lyft Data Scientist at Lyft on Central Market Management team to lead initiatives enhancing decision-making quality. Develop frameworks and models to improve operational efficiency and financial decision-making.
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
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.
Qualification
Bachelor’s
Required
Bachelor’s, Master’s, or PhD in quantitative field or equivalent practical experience
3+ years industry experience in decision science, analytics, statistics, or data science
