Data Science Director (IC) at Meta
Bellevue, WA
$253,000–$314,000from the description
Jul 17, 2026
Bellevue, WA
Jul 21, 2026
What this job asks for AI summary
An individual-contributor director role focused on the data science underpinning Meta's ads ranking systems. The work centers on shaping measurement frameworks, analytics methods, and experimentation infrastructure for large-scale AI-driven ad delivery, while influencing engineering and product strategy at an executive level. Best suited to a seasoned data scientist with deep experience in ML-based systems, causal inference, and cross-functional leadership without direct people-management as the primary function.
Principal level · 10+ years · San Francisco-Oakland-Berkeley, CA · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
Why we read it this way (7)
This is an explicitly IC (Individual Contributor) Director role — not a people-management position — so 15-2051 (Data Scientists) is preferred over 11-3021 (Computer and Information Systems Managers), though the role does involve informal leadership and influence across teams of data scientists and managers.
The job title includes 'Director' but Meta explicitly frames this as an IC capacity role, which is why seniority is assessed as Principal (org-wide technical authority and strategic direction) rather than Staff.
Location is not explicitly stated in the posting; Meta's primary headquarters is Menlo Park/San Francisco Bay Area, CA. The CBSA reflects that inference.
The minimum degree requirement is a Bachelor's in a relevant field OR equivalent practical experience, so no formal degree is hard-gated.
Predictive modeling, machine learning, causal inference, AI tools, prompt engineering, and agent orchestration all appear under the 'Preferred Qualifications' section.
Compensation is stated as $253,000–$314,000/year 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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