{"schemaVersion":"jobsearcher.job.v1","id":"fdc2ea9f0e2e0efc88636833","url":"https://jobsearcher.com/jobs/fdc2ea9f0e2e0efc88636833","canonicalUrl":"https://jobsearcher.com/jobs/fdc2ea9f0e2e0efc88636833","title":"Senior Data Scientist, Algorithms- Pricing","description":"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.\nLyft's Research Science Team builds mathematical models underpinning the platform's core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We are hiring motivated experts in each of these fields. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment.\nYou will report into a Science Manager.\nResponsibilities:\nPartner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.\nPerform exploratory data analysis to gain a deeper understanding of the problem\nConstruct and fit statistical, machine learning, or optimization models\nWrite production modeling code; collaborate with Software Engineers to implement algorithms in production\nDesign and run both simulated and live traffic experiments\nAnalyze experimental and observational data; communicate findings; facilitate launch decisions\nExperience:\nM.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields\n4+ years professional experience\nPassion for solving unstructured and non-standard mathematical problems\nEnd-to-end experience with data, including querying, aggregation, analysis, and visualization\nProficiency with Python, or another interpreted programming language like R or Matlab\nWillingness to collaborate and communicate with others to solve a problem\nBenefits:\nGreat medical, dental, and vision insurance options\nMental health benefits\nFamily building benefits\nIn addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off\n401(k) plan to help save for your future\n18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible\nPre-tax commuter benefits\nLyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program\nLyft 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.\nThis 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\nThe expected base pay range for this position in the San Francisco 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.","company":"Lyft Drivers","rawCompany":"lyft drivers","city":"Alameda","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T20:37:21.132Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-2031.00","title":"Operations Research Analysts","slug":"operations-research-analysts"}],"industries":[{"code":"485310","title":"Taxi and Ridesharing Services","slug":"taxi-and-ridesharing-services"},{"code":"485999","title":"All Other Transit and Ground Passenger Transportation","slug":"all-other-transit-and-ground-passenger-transportation"},{"code":"485119","title":"Other Urban Transit Systems","slug":"other-urban-transit-systems"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Scientist, Algorithms- Pricing","description":"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.\nLyft's Research Science Team builds mathematical models underpinning the platform's core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We are hiring motivated experts in each of these fields. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment.\nYou will report into a Science Manager.\nResponsibilities:\nPartner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.\nPerform exploratory data analysis to gain a deeper understanding of the problem\nConstruct and fit statistical, machine learning, or optimization models\nWrite production modeling code; collaborate with Software Engineers to implement algorithms in production\nDesign and run both simulated and live traffic experiments\nAnalyze experimental and observational data; communicate findings; facilitate launch decisions\nExperience:\nM.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields\n4+ years professional experience\nPassion for solving unstructured and non-standard mathematical problems\nEnd-to-end experience with data, including querying, aggregation, analysis, and visualization\nProficiency with Python, or another interpreted programming language like R or Matlab\nWillingness to collaborate and communicate with others to solve a problem\nBenefits:\nGreat medical, dental, and vision insurance options\nMental health benefits\nFamily building benefits\nIn addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off\n401(k) plan to help save for your future\n18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible\nPre-tax commuter benefits\nLyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program\nLyft 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.\nThis 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\nThe expected base pay range for this position in the San Francisco 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.","datePosted":"2026-04-12T20:37:21.132Z","dateModified":"2026-04-12T20:37:21.132Z","hiringOrganization":{"@type":"Organization","name":"Lyft Drivers","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Alameda","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fdc2ea9f0e2e0efc88636833"},"url":"https://jobsearcher.com/jobs/fdc2ea9f0e2e0efc88636833"}}