Data Scientist - Machine Learning, Pricing & Rider Engagement

Job Description

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. The Pricing team is a centerpiece of Lyft’s marketplace. The Pricing team owns the models and software systems that determine the final prices shown to riders. Working with our business and analytics partners, the team owns tools to ensure Lyft offers competitive prices while making efficient financial trade-offs. Rider Engagement is a fast-growing team within Pricing, focused on developing rider-facing engagement levers and optimizing allocations and decisioning systems to drive both short term and long term business outcomes. As a Data Scientist specializing in Algorithms on the Rider Engagement team, you will develop mathematical models for core discounting systems and address diverse problems across optimization, prediction, machine learning, and inference. You will collaborate with cross-functional teammates and stakeholders to enhance algorithms, build and scale our rider engagement products and systems, and drive business growth. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions and decisioning frameworks. In this role, you will report to a Data Science Manager. Responsibilities: Partner with Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Prioritize and lead deep dives into our data to uncover new product and business opportunities Be familiar with production code; collaborate with Software Engineers to implement algorithms and models in production Design, implement, and analyse different types of experiments, and facilitate and foster data-driven and informed decision making and prioritization Establish metrics that measure the health of our products, as well as rider and driver experience Drive collaboration and coordination with cross-functional teams Provide coaching and technical guidance for other teammates Experience: M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields 2+ years professional experience in a technology company setting Proven experience with building and evaluating machine learning models Proficiency with Python and working in a production coding environment Passion for solving unstructured and non-standard mathematical problems End-to-end experience with data, including querying, aggregation, analysis, and visualization Strong oral and written communication skills, and ability to collaborate and communicate with others to solve

Required Skills