Staff Data Scientist, Algorithms

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.Data Science is at the heart of 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 by leveraging optimization and inference to shape critical business decisions. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing.As a Staff Data Scientist, you’ll work both with our Lyft Ads and Lyft Business teams. Lyft Ads is one of Lyft’s newest lines of business focused on building the world’s largest transportation media network. We build products that allow brands to engage with our unique audience throughout their transportation journeys. Lyft Business builds products that help organizations move the people who matter most—employees, customers, patients, and guests—easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs.As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platform's core services, addressing diverse problems in machine learning, optimization, prediction, and inference.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 productsPartner with Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business contextPrioritize and lead deep dives into our data to uncover new product and business opportunitiesBe familiar with production code; collaborate with Software Engineers to implement algorithms and models in productionDesign, implement, and analyse different types of experiments, and facilitate and foster data-driven and informed decision making and prioritizationEstablish metrics that measure the health of our products, as well as rider and driver experienceDrive collaboration and coordination with cross-functional teamsProvide coaching and technical guidance for other teammatesExperience:M.S. or Ph.D. in Machine Learning, Statistics, Computer Science, Mathematics, or other quantitative fieldsProven experience with building and evaluating optimization modelsProficiency with Python and working in a production coding environmentPassion for solving unstructured and non-standard mathematical problemsEnd-to-end experience with data, including querying, aggregation, analysis, and visualizationStrong verbal and written communication skills, and ability to collaborate and communicate with others to solve a problemBenefits:Great medical, dental, and vision insurance options with additional programs available when enrolledMental health benefitsFamily building benefitsChild care and pet benefits401(k) plan to help save for your futureIn addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligibleSubsidized commuter benefitsLyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership ProgramLyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. 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, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. 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, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #HybridThe expected base pay range for this position in the New York City area is $176,000 - $220,000. 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.Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.