Drimva

Meta

Director, Data Science - New Revenue Bets

$253K–$314K

Sunnyvale, CA +6 · Remote · Director · Full-time · Posted Jun 11, 2026

Location
Sunnyvale, CA
Bellevue, WA
Menlo Park, CA
Seattle, WA
New York, NY
San Francisco, CA
Remote, US
Experience
12+ years in data science, analytics, or a quantitative field.
Education
Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; advanced degree (MS/PhD) in Statistics, Economics, Computer Science, or a related quantitative discipline.

About the job

Leads product analytics and measurement across Meta’s New Revenue Bets, shaping strategy and investment decisions for subscription products, AI-powered business tools, and APAC expansion.

What you'll do

  • Provide analytical leadership across workstreams and translate complex analysis into executive insights that inform strategy and investment.
  • Define measurement frameworks and analyze subscription growth, retention, LTV, AI-tool effectiveness, and APAC market expansion.
  • Set measurement and experimentation practices, coach colleagues, and redesign analytical workflows using AI/ML tools and agents.

What they ask for

  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
  • 12+ years of experience in data science, analytics, or a quantitative field.
  • Demonstrated company-wide influence, cross-org strategy, and sustained execution on high-complexity problems.
  • Ability to synthesize complex analysis for VP+ audiences and operate across ambiguous, multi-team environments.

Nice to have

  • Advanced degree (MS/PhD) in Statistics, Economics, Computer Science, or a related quantitative discipline.
  • Experience in subscription businesses, AI product measurement, responsible AI, or international/APAC market analytics.

Pay

$253,000/year to $314,000/year (base salary)

Tools

Hive, Presto, Spark, experimentation platforms, ML infrastructure, prompt/context engineering, agent orchestration

AI focus

Measure AI agent effectiveness and customer ROI, evaluate AI products, apply responsible AI practices, and redesign analytical workflows using AI/ML tools and agents.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)