Sr. Staff Data Scientist - Ads Measurement, Signals, Privacy
$232,500–$325,500
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 owning the scientific direction of how the platform measures advertiser value. Day-to-day work spans causal inference and lift experimentation, signal quality and identity evaluation, privacy-compliant measurement frameworks, and translating those findings into guidance for product, engineering, and business leadership. Suits a deeply experienced ads measurement scientist comfortable operating at both strategic and hands-on technical levels.
Principal level · 10+ years · Remote · Full-time
Advertised as Staff, but the requirements read as Principal.
“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 230 people nationally plausibly meet what this posting asks for (data scientists). range 100–350
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 (7)
The title is 'Senior Staff Data Scientist', which maps to the Staff advertised level; however, the actual scope — org-wide technical authority, redefining industry measurement standards, mentoring Staff/Senior ICs, and setting cross-pillar strategy — is consistent with a Principal-level role, so seniority is set to Principal.
Degree requirement is set to None: the JD explicitly accepts 'equivalent industry experience' in lieu of the listed advanced degrees.
Python and R are listed as interchangeable ('Python or R'); Python is named as the primary with R in alternatives.
All preferred-section skills (lift measurement, incrementality, MMM, MTA, identity graph, conversion modeling, privacy-preserving modeling, clean rooms, ML/ranking systems) appear under the explicit 'Preferred' heading and are marked accordingly.
No compensation figures are stated in the posting.
Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): attribution modeling, conversion modeling, privacy-preserving modeling.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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