Staff Data Scientist - Ads Measurement, Signals, Privacy
$217,000–$303,900
Jul 16, 2026
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Jul 21, 2026
What this job asks for AI summary
A senior individual-contributor role on Reddit's Ads Data Science team, focused on the measurement, identity, and signal quality aspects of the advertising platform. Day-to-day work spans building probabilistic identity-resolution models, owning statistical methodology for brand and conversion lift products, defining signal strategies for predictive bidding models, and designing evaluation frameworks. Suits a deeply experienced applied scientist comfortable driving technically complex, cross-functional initiatives with significant autonomy.
Staff level · 10+ years · Remote · Master's required · Full-time
“or” means any one of them counts — you don't need all of them.
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 380 people nationally plausibly meet what this posting asks for (data scientists). range 230–560
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
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 degree requirement is a hard gate: an M.S. or Ph.D. in Statistics, Mathematics, Physics, Economics, or Operations Research is explicitly required. Because M.S. is the lower of the two accepted degrees, the degree requirement is set to Masters.
Experience minimums are degree-contingent: 10+ years for M.S. holders, 6+ years for Ph.D. holders. The higher figure (10) is used for the overall years minimum as it represents the floor for the more common credential path.
The JD requires demonstrated expertise in AT LEAST ONE of four specialization areas (Measurement & Experimentation, Identity Graph, Predictive Modeling with Signal Loss, or Methodology/Infrastructure). The specific domain skills (identity resolution, lift measurement, attribution, predictive modeling) are therefore preferred rather than all individually required — only one area must be demonstrated.
No compensation figures are stated in the posting.
Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): probabilistic modeling, attribution modeling, predictive modeling.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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