Data Science Engineer Jobs in San Francisco, CA

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

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