Director, Data Science - New Revenue Bets

Meta; San Francisco (CA); Presencial; USD 253 000 - 314 000; Tempo integral

Resumo da oferta

Meta in San Francisco seeks a Director of Data Science for New Revenue Bets to serve as a product analytics leader and strategic generalist across 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.

You will define measurement frameworks, tackle ambiguous problems, and drive analytics on subscriber growth, pricing, and product-market fit for Meta’s subscription

Qualificações

• 12+ years of experience in data science, analytics, or a quantitative field
• Proven ability to influence cross-org strategy and drive execution

Responsabilidades

• Provide senior analytical leadership across New Revenue Bets workstreams (Subscriptions, BizAI, XF APAC)
• Synthesize complex analysis into actionable insights for executive audiences
• Define measurement frameworks and success metrics for nascent revenue products

Conhecimentos

Senior leadership

Cross-functional collaboration

Data storytelling

Strategic thinking

Formação académica

MS/PhD in Statistics/Economics/CS

Ferramentas

Hive

Presto

Spark

Descrição da oferta de emprego

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.

Director, Data Science - New Revenue Bets 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

Minimum 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

Preferred Qualifications:

• Familiarity with Meta's data infrastructure (large-scale data querying tools (e.g., Hive, Presto, Spark), experimentation platforms, and ML infrastructure)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience in subscription/recurring-revenue businesses (LTV modeling, retention analytics, pricing strategy)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Background in AI product measurement or AI agent evaluation frameworks
• International/APAC market analytics experience - understanding regional dynamics, localization challenges, and cross-market comparisons
• Prior experience operating as a principal-level IC embedded in a leadership team across multiple concurrent bets

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affimative 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 [e-mail].

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

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.