Director, Data Science — Growth & Revenue Strategy

Meta; Trenton (NJ); On-site; USD 253,000 - 314,000; Full time

Job summary

Meta is seeking a seasoned Data Scientist to lead product analytics for the New Revenue Bets org, driving strategy and execution with autonomy. You will partner with VPs and senior leaders to synthesize insights, define metrics, and shape investment decisions across subscriptions, BizAI, and APAC initiatives.

The role requires deep analytical rigor, strong product sense, and the ability to elevate the craft of other ICs while redesigning analytics workflows to leverage AI at scale.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related technical field.
• 12+ years of experience in data science, analytics, or a quantitative field.
• Advanced degree (MS/PhD) in Statistics, Economics, Computer Science, or related quantitative discipline.
• Demonstrated company-wide influence, cross-org strategy, and sustained execution on high-complexity problems.
• Proven ability to context-switch across disparate problem domains while maintaining high-quality output.
• Track record of setting direction on company-critical problems and influencing cross-org strategy.
• Experience thriving in multi-team, multi-stakeholder environments with the ability to build trust quickly and drive outcomes through influence.
• Comfort operating in early-stage, high-ambiguity environments where metrics and questions haven't been defined yet.
• Ability to synthesize complex analysis into clear narratives for VP+ and cross-functional leadership.

Responsibilities

• Provide senior analytical leadership across New Revenue Bets workstreams - Subscriptions, BizAI, and XF APAC - where it's most needed.
• Work directly with VPs and senior cross-functional leaders across the company.
• 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 where playbooks don't yet exist.
• Make ambiguity tractable for emerging business models.
• Drive analytical insights on subscriber growth, retention, LTV modeling, pricing/packaging strategy, and product-market fit for Meta's subscription offerings.
• Partner on the data strategy for AI-powered business tools - measurement of AI agent effectiveness, ROI frameworks for business customers, and opportunity sizing for new capabilities.
• Lead cross-functional analytics supporting APAC market expansion - localization insights, regional product-market dynamics, and go-to-market measurement.
• Serve as a unifying analytical voice across multiple teams and workstreams.
• Identify shared challenges, propagate learnings, and ensure teams are building 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, collaboration, and exemplar work.
• Redesign analytical workflows to leverage AI/ML tools and agents at scale.
• Model how ICs should integrate AI as a force multiplier.

Skills

senior analytical leadership

cross-functional collaboration

data storytelling

AI/ML familiarity

Education

Bachelor's degree in Computer Science or related field

MS/PhD in Statistics, Economics, CS or related

Tools

Hive

Presto

Spark

Job description

Meta is seeking a seasoned Data Scientist to lead product analytics for the New Revenue Bets org, driving strategy and execution with autonomy. You will partner with VPs and senior leaders to synthesize insights, define metrics, and shape investment decisions across subscriptions, BizAI, and APAC initiatives.

The role requires deep analytical rigor, strong product sense, and the ability to elevate the craft of other ICs while redesigning analytics workflows to leverage AI at scale.