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HomeCompaniesLyftSenior Data Scientist, Causal Inference

Senior Data Scientist, Causal Inference

Lyft · San Francisco, CA · Hybrid · Active · $148,000–$185,000 / year · Greenhouse

Job facts

FieldValue
CompanyLyft
TitleSenior Data Scientist, Causal Inference
Normalized title-
Department / teamGrowth
LocationSan Francisco, CA, United States
Work modelHybrid / Hybrid
Employment type-
Salary$148,000–$185,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-06-10 / 2026-06-11
Changed / last seen2026-06-18 / 2026-06-18

Related slices

PageWhat it containsOpen
Company jobsActive postings from Lyft.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Growth.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyLyft
Source5fc2601d-43e7-4c04-81d6-28aa2a8c9d05
ATS providerGreenhouse

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. The Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products. As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels. Responsibilities: Deliver results across 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 problems. Own complex domains and develop long-term roadmaps to maximize business impact. Build statistical pipelines, write production code, and design/analyze experiments. Participate in the science on-call rotation to ensure automated campaigns operate successfully. Experience: Advanced degree in statistics, economics, mathematics, or equivalent industry experience. 4+ years of industry experience in causal inference or data science. Proven ability to apply statistics to unstructured problems and deliver measurable results. Deep technical expertise in causal inference and tackling challenging measurement problems. Expertise in marketing mix modeling is highly preferred. Expertise in SQL and experience with large-scale data platforms. Proficiency in Python and working within production coding environments. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Monthly Lyft credits and complimentary Lyft Pink membership Lyft 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. #Hybrid The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are 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.

Full job record

Job IDbe9061cf85703eb7587a4c58205f04bee0c98838
Org ID648177ab-6cce-49bb-9f6d-cceba0ab8272
Source ID5fc2601d-43e7-4c04-81d6-28aa2a8c9d05
Board ID5fc2601d-43e7-4c04-81d6-28aa2a8c9d05
Providergreenhouse
Provider Job Key8584595002
TitleSenior Data Scientist, Causal Inference
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco, CA
DepartmentGrowth
Team
Employment Type
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CitySan Francisco
Salary Rawbase pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits
Salary Min148,000
Salary Max185,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://app.careerpuck.com/job-board/lyft/job/8584595002?gh_jid=8584595002
Apply URLhttps://app.careerpuck.com/job-board/lyft/job/8584595002?gh_jid=8584595002
First Seen At2026-06-11 07:34:33Z
Last Seen At2026-06-18 07:34:53Z
Last Checked At2026-06-18 07:34:53Z
Last Changed At2026-06-18 07:34:53Z
Inactive At
Source Posted At2026-06-10 22:16:01Z
Source Updated At2026-06-18 06:53:49Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=lyft/date=2026-06-18/2026-06-18T07-34-53-455Z-d031ec415492537683bf7c215bc2b1837fd6131447e1656fcc5cef8918059bd3.json
Event Fields
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  "active_status": "active"
}
Parsed Structured
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  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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  "company_name": "Lyft",
  "requisition_id": 6428922002,
  "first_published": "2026-06-10T18:16:01-04:00",
  "application_deadline": null
}
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