{"id":1601832,"url":"https://alion.io/job/lyft-data-scientist","title":"Data Scientist","company":{"id":234,"name":"Lyft","domain":"lyft.com","url":"https://alion.io/company/lyft","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":89,"open_postings":22,"ghost_share":0,"stale_share":0.455,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-06T05:45:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":129709,"max":192000,"currency":"USD","period":"year","gross":null,"usd_annual":192000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-09-02T07:14:00Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-06T22:38:10Z","board_verified":true,"closed_at":null,"days_open":34,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":34},"description":"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.\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.\nCollaborate with Software Engineers to implement algorithms in production.\nDesign and run both simulated and live traffic experiments.\nAnalyze experimental and observational data.\nCommunicate findings.\nFacilitate launch decisions.\nExperience:\nMaster’s degree or foreign equivalent in Mathematics, Statistics, Economics, or related field.\n2 years of experience in job offered, Operations Research, or related occupation.\nExperience with solving unstructured and non-standard mathematical problems.\nExperience with end-to-end data including querying, aggregation, analysis, and visualization.\nExperience with Python and other programming languages such as R and MATLAB.\nBenefits:\nGreat medical, dental, and vision insurance options with additional programs available when enrolled\nMental health benefits\nFamily building benefits\nChild care and pet benefits\n401(k) plan to help save for your future\nIn addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off\n18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible\nSubsidized commuter benefits\nLyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program\nLyft 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.\nLyft 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. #Hybrid\nThe expected base pay range for this position in the Seattle area is $129,709 - $192,000/year. 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. 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