About the Job
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.
Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designi...
The Airports team, within the Driver organization, focuses on the airport marketplace and the unique products designed for this use case. Airports are one of the most important, impactful, and complex parts of Lyft’s Rideshare business, as they are a key part of both the rider and driver Lyft experience and have uni...
Key Responsibilities
Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty
Design and analyze experiments in collaboration with other scientists, product & engineering; communicate findings to stakeholders and facilitate launch decisions
Analyze the wide variety of signals available to identify patterns in large datasets and uncover root causes, identifying opportunities for growth and efficiency and recommending technical solutions to drive business impact
Understand the complex business dynamics at Airports, specifically how Airport products differ from traditional rideshare marketplaces, to propose enhancements that compliment Lyft-wide products
Present findings, recommendations, and results to senior leadership and cross-functional stakeholders
Establish metrics that measure the health of our products, the business, as well as the rider and driver experience
Degree in a quantitative field (advanced degrees preferred) such as Statistics, Economics, Computer Science, Engineering, Applied Mathematics, or related discipline; or equivalent practical experience
4-6+ years of industry experience in a data science or analytics role
End-to-end experience with data, including querying, aggregation, analysis, and visualization, to provide actionable insights and reusable frameworks
Experience with experimentation, including user splits and time splits to accurately measure impact
Ability to manage, influence, negotiate, and inspire others in a fast-moving environment
Proficiency in SQL and Python - you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions
Demonstrated ability to own multi-project analytical scopes with ambiguous problem definitions and cross-functional integration
Exceptional communication skills with the ability to craft a compelling story and concisely present recommendations across teams and levels including both technical and non-technical audiences
