Data Scientist (Technical Leadership) at Meta
Salt Lake City, UT
$210,000–$281,000from the description
Jul 23, 2026
Salt Lake City, UT
Jul 24, 2026
What this job asks for AI summary
A senior individual-contributor data science role embedded across one or more of Meta's product areas, such as Facebook, Instagram, or WhatsApp. Day-to-day work centers on analyzing large datasets, designing and interpreting experiments, shaping product roadmaps, and communicating findings to engineering, product, and finance partners. Suited to someone with 8+ years of analytics experience who is comfortable driving strategy through quantitative insight rather than managing people.
Senior level · 8+ years · San Francisco-Oakland-Berkeley, CA · Full-time
Posted 12 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 470 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (data scientists). range 200–700
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 (7)
The job title is 'Data Scientist (Technical Leadership)' but carries no explicit seniority level word; the title states no level. However, the 8+ years requirement and IC technical leadership scope support a Senior classification.
Location is not explicitly stated in the posting; Meta's primary headquarters is Menlo Park, CA (San Francisco Bay Area CBSA). The role may be available across multiple product areas and potentially multiple offices.
The degree requirement lists 'Bachelor's degree … or equivalent practical experience,' which means no formal degree is hard-gated.
Compensation is stated as $210,000–$281,000/year plus bonus, equity, and benefits.
Preferred qualifications include AI/ML tooling skills (prompt engineering, agent orchestration, responsible AI practices) — these are listed under the explicit 'Preferred Qualifications' section.
The posting is light on specific named technologies (no SQL, Python, R, Spark, etc. are mentioned), so the skills list reflects only what is concretely named. The required skills are framed as analytical capabilities rather than specific tools.
Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): quantitative analysis, predictive modeling, agent orchestration.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.