Data Scientist, Algorithms - Growth at Lyft

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. Data Scientists at Lyft work in dynamic environments, where we embrace moving quickly to build the world’s best transportation. We take on a variety of problems ranging from shaping long-term business strategy with data, making short-term critical decisions, and building algorithms/models/tools that power our internal and external products.We are seeking a Data Scientist with expertise in experimental design and causal inference to join the Growth team. This role is pivotal in shaping how Lyft expands its user base (drivers and riders) and involves building robust systems for measuring short- and long-term impact in a dynamic marketplace. Some products we work on are incentive targeting, budget optimization via customer LTV, and paid media campaigns.Responsibilities:Drive the entire lifecycle of data science solutions for Growth, from defining the problem with cross-functional stakeholders to deploying production models that address key business problemsBuild statistical models/pipelines, write production code, design and implement experimentsPerform exploratory data analysis and evaluate experimentsOversee growth experimentation, including process development, success criteria definition, team guidance, and the creation of new experimentation methodologiesExperience:Advanced degree in a quantitative field like statistics, economics, or mathematics; or relevant work experience4+ years of hands-on industry experience in causal inference or data scienceTrack record of using statistics and guiding teams through unstructured technical problems to deliver business impactFluency in SQL/data querying and experience with large-scale data platformsProficiency with Python and working in a production coding environmentAbility to collaborate and communicate with others to solve a problemStrong oral and written communication skills, and ability to collaborate with cross-functional partnersBenefits: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 San Francisco area is $148,000 - $185,000. 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.