Bellevue, WA

Salary
$253,000–$314,000from the description
Posted
Jul 9, 2026
Location
Bellevue, WA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A principal-level individual contributor data science role embedded within Meta's internal platform organization, which owns experimentation, research, metrics, and analytics tooling used across the company. The work centers on defining measurement frameworks, leading large-scale causal inference and A/B testing programs, building forecasting systems, and setting analytical standards — including redesigning workflows around AI agents — while advising VP-level stakeholders and mentoring other data scientists.

Principal level · 12+ years · San Francisco-Oakland-Berkeley, CA · Full-time

Must have (4)
causal inferenceA/B testingtime series forecastingstatistical analysis
Nice to have (2)
Hive, Presto or SparkLLMs

“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 8 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (data scientists). range 5–10

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What gives you an edge
time series forecasting6%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
statistical analysis60%A/B testing45%

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 in the posting header reads 'Director, Data Science' while the body describes the role as a 'DS Tech Lead' and 'Data Scientist at the principal level' — this is an individual-contributor principal role, not a people-management director; seniority is assessed accordingly.

Location is not explicitly stated; Meta's CPP org is headquartered in Menlo Park/Meta HQ (San Francisco Bay Area CBSA). Remote status is unspecified and defaulted to false given no remote language.

The Bachelor's degree requirement explicitly accepts 'equivalent practical experience,' so no minimum degree is flagged.

Distributed query technologies (Hive, Presto, Spark) appear only under Preferred Qualifications.

AI-related skills (prompt/context engineering, agent orchestration, responsible AI practices) all appear under Preferred Qualifications.

Compensation is stated as $253,000–$314,000/year base, plus bonus, equity, and benefits.

Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): predictive modeling, agent orchestration.

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