Applied Scientist • Mid-Level

Who you are

You have a strong background in applied science with a focus on machine learning and operational research — you've developed mathematical models and algorithms that drive business outcomes in a marketplace environment. Your experience includes building and scaling systems that handle real-time data processing and large data storage, ensuring that you can tackle critical business problems effectively.

You thrive in collaborative settings, partnering with data scientists, engineers, product managers, and business partners to frame complex problems and develop reliable solutions. Your ability to balance complexity and efficiency allows you to translate real-world business challenges into actionable decision frameworks.

You are excited about working in a fast-paced and innovative environment — you understand the importance of rider engagement and pricing strategies in enhancing user experience and driving company growth. Your analytical mindset and problem-solving skills enable you to approach challenges with a strategic perspective.

Desirable

Experience with real-time data processing systems and large-scale data storage solutions is a plus. Familiarity with discounting systems and pricing algorithms will help you excel in this role.

What you'll do

As an Applied Scientist at Lyft, you will be responsible for developing and implementing mathematical models that power core discounting systems and pricing decisions. You will work hands-on with machine learning and optimization models, ensuring that they are effectively productionized and scalable. Your role will involve collaborating with various teams to enhance algorithms and improve the overall pricing experience for riders.

You will engage in diverse problem-solving activities across optimization, prediction, and inference, contributing to the development of systems that have a significant impact on the marketplace. Your work will directly influence how Lyft determines prices for rideshare products and supports new initiatives aimed at improving rider engagement.

You will also be tasked with analyzing data to inform pricing strategies and enhance user engagement levers. By leveraging your expertise, you will help shape the future of Lyft's pricing mechanisms and contribute to the company's mission of connecting and serving its users effectively.

What we offer

Lyft provides a competitive salary range of $140,800 - $176,000, not including potential equity offerings, bonuses, or benefits. We foster a work environment where all team members belong and have the opportunity to thrive, ensuring that you can grow both personally and professionally.

Join us in making a meaningful impact in the rideshare industry while working alongside talented professionals who are dedicated to innovation and excellence. We encourage you to apply even if your experience doesn't match every requirement — your unique perspective could be just what we need.