The opportunity
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
What you'll do
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
What they're looking for
- 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
