At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Data Science is central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems from shaping critical business decisions to building algorithms that power our products. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing.

As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platform's core services, addressing diverse problems in optimization, prediction, machine learning, and inference. On the Fulfillment team, you will report to a Team Manager overseeing Data Scientists, Data Analysts, Machine Learning Engineers and Software Engineers. You will collaborate with cross-functional teammates and stakeholders to enhance algorithms for matching rideshare supply and demand in real time and develop product offerings to improve the experiences of Lyft Riders and Drivers.

Responsibilities: Drive the Science and Machine Learning roadmap of the team’s problem area, leverage data and analytic frameworks to direct creations and improvements of algorithms and models underpinning the team’s systems and products Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context. Perform exploratory data analysis to gain a deeper understanding of the problem Construct and fit statistical, machine learning, or optimization models Write production modeling code; collaborate with Software Engineers to implement algorithms in production Design and implement both simulated and live traffic experiments Analyze experimental and observational data; communicate findings; facilitate launch decisions Develop measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes Drive collaboration and coordination with cross-functional teams Advise teams on best practices. Be a thought leader and go-to expert for stakeholders and dependency teams Experience: M.S. or Ph.D. in Machine Learning, Statistics, Computer Science, Mathematics, or other quantitative fields 4+ 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 Past experience working as a Machine Learning Engineer is a preferred plus 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 a problem Benefits Great medical, dental, and vision insurance options Mental health benefits Family building benefits In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off 401(k) plan to help save for your future 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Pre-tax commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the New York City area is $144,000 - $180,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.