Director of Data Science — Revenue Bets & AI Strategy

Boise (ID)

On-site

USD 253,000 - 314,000

Full time

4 days ago

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Job summary

Meta is seeking an experienced Data Scientist to lead product analytics across the New Revenue Bets portfolio, including Subscriptions, BizAI, and XF APAC. You will partner with VPs and senior leaders to shape strategy, synthesize insights across workstreams, and ensure data-driven decision-making at the highest levels.

You will establish measurement frameworks, drive analytics on subscriber growth and pricing strategies, and guide AI-enabled tool development.

Qualifications

Bachelor's degree in a technical field or equivalent practical experience.
12+ years of experience in data science, analytics, or a quantitative field.
Advanced degree in Statistics, Economics, CS, or related quantitative discipline.
Proven company-wide influence and cross-org strategy with high-complexity problems.
Ability to context-switch across growth, monetization, international expansion, and AI products.
Track record of setting direction on company-critical problems and influencing cross-org strategy.
Experience thriving in multi-team, multi-stakeholder environments with quick trust-building.
Comfort operating in early-stage, high-ambiguity environments with undefined metrics and questions.
Ability to synthesize complex analysis into clear narratives for VP+ and leadership.

Responsibilities

Provide senior analytical leadership across New Revenue Bets workstreams—Subscriptions, BizAI, and XF APAC.
Work directly with VPs and senior cross-functional leaders across Meta.
Synthesize complex analysis into actionable insights for executive audiences and shape investment decisions at the highest levels.
Define measurement frameworks and success metrics for nascent revenue products.
Make ambiguity tractable for emerging business models.
Drive analytical insights on subscriber growth, retention, LTV modeling, pricing/packaging, and product-market fit.
Partner on data strategy for AI-powered tools—measurement of AI agent effectiveness and ROI frameworks.
Lead cross-functional analytics supporting APAC market expansion—localization insights and go-to-market measurement.
Serve as a unifying analytical voice across teams and workstreams.
Identify shared challenges, propagate learnings, and ensure teams build on each other’s work.
Establish best practices in measurement, experimentation, and causal inference for early-stage revenue products.
Propagate learnings across the org and beyond.
Elevate the craft and impact of other ICs and managers through coaching and collaboration.
Redesign analytical workflows to leverage AI/ML tools at scale.
Model how ICs should integrate AI as a force multiplier.