Director, Data Science - New Revenue Bets

Meta

Hartford (CT)

On-site

USD 253,000 - 314,000

Full time

37 hours ago
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Job summary

Meta is seeking a data science leader to drive analytics across New Revenue Bets, including Subscriptions, BizAI, and XF APAC. You will partner with VPs and senior leaders to shape strategy, synthesize insights, and unblock critical workstreams.

You will establish measurement frameworks, model LTV, pricing, and product-market fit while elevating the analytical capabilities of multiple teams and coaching ICs.

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or related field; 12+ years in data science or analytics.
  • Advanced degree (MS/PhD) in Statistics, Economics, CS, or related quantitative discipline.
  • Proven cross-org influence and ability to drive complex problems to execution.
  • Ability to switch contexts across growth, monetization, and AI products while maintaining quality.

Responsibilities

  • Provide senior analytical leadership across New Revenue Bets workstreams (Subscriptions, BizAI, XF APAC).
  • Synthesize analysis into actionable insights for executive audiences and inform investment decisions.
  • Define measurement frameworks and success metrics for nascent revenue products.
  • Elevate analytics craft and coach ICs and managers across teams.

Skills

Leadership
Cross-functional collaboration
Data storytelling
Strategic thinking
Executive communication

Education

Bachelor's degree in CS/Engineering
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:

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:

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:

Meta is proud to be an Equal Employment Opportunity and
Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.


Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.


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