Data Scientist • Mid-Level

Who you are

You have a strong background in data science, particularly in algorithms and machine learning, with experience in developing mathematical models that address complex problems. You are skilled in statistical modeling and optimization techniques, and you understand how to apply these to real-world scenarios in the ridesharing industry. Your analytical mindset allows you to perform exploratory data analysis effectively, gaining insights that drive business decisions. You are comfortable collaborating with engineers, product managers, and business partners to frame problems both mathematically and within the business context. You thrive in a team environment and are eager to contribute to a culture of belonging and growth.

What you'll do

As a Data Scientist on the Fulfillment team at Lyft, you will drive the science and machine learning roadmap, leveraging data and analytic frameworks to create and improve algorithms that underpin the team’s systems and products. You will partner with cross-functional teammates to enhance algorithms for matching rideshare supply and demand in real time. Your responsibilities will include constructing and fitting statistical, machine learning, or optimization models, as well as writing production modeling code. You will also engage in exploratory data analysis to deepen your understanding of the problems at hand and contribute to the development of product offerings that improve the experiences of Lyft Riders and Drivers.

What we offer

Lyft provides a supportive work environment where all team members can thrive. You will have the opportunity to work on impactful projects that shape the future of ridesharing. The company values collaboration and encourages you to apply even if your experience doesn't match every requirement. You will be part of a team that is dedicated to using data science to drive critical business decisions and enhance user experiences.