Director, Data Science - New Revenue Bets

Meta; Dover (DE); On-site; USD 253,000 - 314,000; Full time

Job summary

Meta is seeking a Data Scientist leader to drive product analytics across New Revenue Bets, including Subscriptions and AI-enabled tools. You will partner directly with VPs and senior leaders to shape strategy, develop rigorous metrics, and unblock critical workstreams.

You will synthesize insights across multiple pillars, define measurement frameworks, and guide investment decisions, influencing cross-functional teams and regional go-to-market efforts.

Qualifications

• Proven ability to influence across orgs and drive outcomes on complex problems.
• Experience shaping strategy and investments at VP level.
• Strong narrative skills for executive audiences.

Responsibilities

• Provide senior analytical leadership across New Revenue Bets workstreams.
• Collaborate with VPs and cross-functional leaders to shape strategy.
• Define metrics and measurement playbooks for nascent revenue products.
• Drive subscriber growth, retention, and pricing strategies for subscriptions.
• Lead data strategy for AI-powered business tools and ROI frameworks.
• Support APAC market expansion with localization insights and go-to-market metrics.
• Elevate ICs and managers through coaching and exemplar work.

Skills

Senior analytics leadership

Stakeholder influence

Data storytelling

Measurement frameworks

LTV modeling

Pricing strategy

Experimentation & causal inference

AI product measurement

APAC market insight

Education

Bachelor's in CS/Math/Stats

MS/PhD in quantitative field

Tools

Hive

Presto

Spark

Job description

Summary

We're looking for a experienced Data Scientist who can serve as a product analytics leader and strategic generalist across the CP - New Revenue Bets org. This role is designed for someone who combines deep analytical rigor with strong product sense - someone who can step into any pillar (Subscriptions, BizAI, or XF APAC) and quickly add leverage where the team needs it most. You'll operate with significant autonomy, partnering directly with VPs and cross-functional leaders at the most senior levels of company leadership to shape strategy and unblock critical workstreams. You'll be the analytical connective tissue across our pillars - building bridges between teams, synthesizing insights across workstreams, and ensuring our bets are informed by the rigorous data-driven perspective.

Required Skills

Director, Data Science - New Revenue Bets Responsibilities:

1. Provide senior analytical leadership across New Revenue Bets workstreams - Subscriptions, BizAI, and XF APAC - where it's most needed at any given moment

2. Work directly with VPs and senior cross-functional leaders across the company

3. synthesize complex analysis into actionable insights for executive audiences and shape investment decisions at the highest levels

4. Define measurement frameworks and success metrics for nascent revenue products where playbooks don't yet exist

5. make ambiguity tractable for emerging business models

6. Drive analytical insights on subscriber growth, retention, LTV modeling, pricing/packaging strategy, and product-market fit for Meta's subscription offerings

7. 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

8. Lead cross-functional analytics supporting APAC market expansion - localization insights, regional product-market dynamics, and go-to-market measurement

9. Serve as a unifying analytical voice across multiple teams and workstreams

10. identify shared challenges, propagate learnings, and ensure teams are building on each other's work

11. Establish best practices in measurement, experimentation, and causal inference for early-stage revenue products

12. propagate learnings across the org and beyond

13. Elevate the craft and impact of other ICs and managers through coaching, collaboration, and exemplar work

14. Redesign analytical workflows to leverage AI/ML tools and agents at scale

15. model how ICs should integrate AI as a force multiplier

Minimum Qualifications

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

2. 12+ years of experience in data science, analytics, or a quantitative field

3. Advanced degree (MS/PhD) in Statistics, Economics, Computer Science, or related quantitative discipline

4. Demonstrated company-wide influence, cross-org strategy, and sustained execution on high-complexity problems

5. Proven ability to context-switch across disparate problem domains (growth, monetization, international expansion, AI products) while maintaining high-quality output

6. Track record of setting direction on company-critical problems and influencing cross-org strategy

7. Experience thriving in multi-team, multi-stakeholder environments with the ability to build trust quickly and drive outcomes through influence

8. Comfort operating in early-stage, high-ambiguity environments where metrics, frameworks, and questions haven't been defined yet

9. Ability to synthesize complex analysis into clear narratives for VP+ and cross-functional leadership

Preferred Qualifications

1. Familiarity with Meta's data infrastructure (large-scale data querying tools (e.g., Hive, Presto, Spark), experimentation platforms, and ML infrastructure)

2. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

3. Experience in subscription/recurring-revenue businesses (LTV modeling, retention analytics, pricing strategy)

4. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

5. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

6. Background in AI product measurement or AI agent evaluation frameworks

7. International/APAC market analytics experience - understanding regional dynamics, localization challenges, and cross-market comparisons

8. Prior experience operating as a principal-level IC embedded in a leadership team across multiple concurrent bets

Public Compensation

$253,000/year to $314,000/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

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