Staff Data Scientist at Lyft
San Francisco, CA
$176,000–$220,000from the description
Jul 10, 2026
San Francisco, CA
Jul 20, 2026
What this job asks for AI summary
A senior data science role embedded in Lyft's Rider organization, focused on loyalty, segments, and partnerships. The work spans experiment design, causal inference, and advanced modeling to inform product and business strategy, with significant cross-functional collaboration across product, engineering, design, and marketing. The position also involves mentoring junior data scientists and engaging directly with VP- and C-suite-level stakeholders.
Senior level · 6+ years · San Francisco-Oakland-Berkeley, CA · Master's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 740 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (data scientists). range 390–960
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $173,851 (middle half $133,298–$217,653). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The JD requires an M.S. with 6+ years OR a Ph.D. with 4+ years of relevant experience; the overall years minimum is set to 6 (the M.S. path minimum, which is the lower bound across both tracks). The strong preference for M.S.+ is treated as a hard degree gate at the Masters level.
Python and R are listed as interchangeable fluency options ('Python or R'); Python is named first and R is captured as an alternative.
The role is a hybrid in-office position (3 days/week in San Francisco); it is not fully remote.
The salary range ($176,000–$220,000/year) is stated for the San Francisco area specifically and excludes equity, bonus, and benefits.
ETL pipelines are explicitly called 'a plus' in the JD and are therefore listed as preferred.
The role sits at the boundary between Data Scientists (15-2051) and Operations Research Analysts (15-2031) — it emphasizes both statistical/ML modeling and business decision-making/experimentation. 15-2051 is chosen as primary given the modeling, inference, and data science library emphasis.
Read the full posting
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