Data Science, Decisions - Airports

<p>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.</p> <p>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, designing experiments, and measuring the impact of new features.</p> <p>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 unique dynamics. As a Data Scientist on the Airport team, you will collaborate with our team of engineers, product managers, and designers to think critically about the current rider and driver experience and implement product enhancements to facilitate market growth.</p> <p>The ideal candidate can apply strong business acumen to propose product changes, develop end-to-end technical solutions, and is comfortable working with a highly cross functional team. In this role, you will help us tackle problems such as:</p> <ul> <li>What rider segments are present at airports and how can we address their major pain points to grow our airport marketshare?&nbsp;</li> <li>What new airport product features can we introduce to grow rider demand?&nbsp;</li> <li>Are we able to forecast rider demand and use this prediction to adjust ride offerings or improve the rider experience?&nbsp;</li> <li>How can we optimize ride offerings for each rider to maximize conversion?</li> </ul> <h2><strong>Responsibilities</strong></h2> <ul> <li>Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty</li> <li>Design and analyze experiments in collaboration with other scientists, product &amp; engineering; communicate findings to stakeholders and facilitate launch decisions</li> <li>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&nbsp;</li> <li>Understand the complex business dynamics at Airports, specifically how Airport products differ from traditional rideshare marketplaces, to propose enhancements that compliment Lyft-wide products</li> <li>Present findings, recommendations, and results to seni