数据科学总监 - 新收入探索

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

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

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

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

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)

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

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.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

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.

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here.

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You may view our Equal Employment Opportunity notice here.

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

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