Senior Director, Data Science — Revenue Analytics

Meta

New York (NY)

On-site

USD 253,000 - 314,000

Full time

2 days ago
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Job summary

Meta is seeking a Director of Data Science for the New Revenue Bets org in the United States. This role blends deep analytics with product sense, partnering with VPs and senior leaders to shape strategy and unblock critical workstreams.

You will lead across Subscriptions, BizAI, and XF APAC, establishing measurement standards, growing subscribers, and driving ROI via data-informed decisions. The position emphasizes mentoring and scaling analytical capabilities across teams.

Qualifications

  • Bachelor's degree in CS/CE or equivalent practical experience.
  • 12+ years in data science, analytics, or a quantitative field.
  • Advanced degree (MS/PhD) in Statistics, Economics, CS, or related field.
  • Demonstrated company-wide influence and cross-org strategy execution.
  • Ability to synthesize analysis into narratives for VP+ and leadership.

Responsibilities

  • Provide senior analytical leadership across New Revenue Bets workstreams.
  • Synthesize complex analysis into actionable insights for executive audiences.
  • Define measurement frameworks and success metrics for nascent revenue products.
  • Drive analytics on subscriber growth, retention, pricing/packaging, and product-market fit.
  • Lead data strategy for AI-powered business tools and ROI frameworks.

Skills

Cross-functional collaboration
Strong product sense
Analytical rigor
Communication to execs

Education

Bachelor's degree in CS/CE or equivalent
MS/PhD in Statistics/Economics/CS or related field

Tools

Hive
Presto
Spark
Experimentation platforms
ML infrastructure

Job description

Meta is seeking a Director of Data Science for the New Revenue Bets org in the United States. This role blends deep analytics with product sense, partnering with VPs and senior leaders to shape strategy and unblock critical workstreams.

You will lead across Subscriptions, BizAI, and XF APAC, establishing measurement standards, growing subscribers, and driving ROI via data-informed decisions. The position emphasizes mentoring and scaling analytical capabilities across teams.

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