Data Science Director: New Revenue Bets Strategy & Impact

Austin (TX)

On-site

USD 253,000 - 314,000

Full time

6 days ago

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Job summary

Meta is seeking a seasoned Data Scientist to lead product analytics and strategic generalist efforts across New Revenue Bets. You will partner with VPs and top leaders to shape strategy, synthesize insights, and unlock critical workstreams across Subscriptions, BizAI, and XF APAC.

You will drive measurement frameworks, tackle ambiguity in nascent revenue products, and influence investment decisions with data-driven narratives.

Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
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 (growth, monetization, international expansion, AI products) 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, frameworks, 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 at any given moment
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