Director, Data Science - Revenue Growth & AI

Meta; Helena (MT); On-site; USD 253,000 - 314,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta seeks an experienced Data Scientist to lead product analytics within the New Revenue Bets organization. This role blends rigorous analysis with strong product sense, stepping into Subscriptions, BizAI, or XF APAC pillars to add leverage where needed.

You will partner with VPs and senior leaders, synthesize insights for executives, define measurement frameworks, and guide strategic investments. Coaching and scalable AI/ML workflows are emphasized.

Qualifications

• Must have a relevant degree and 12+ years in data science, analytics, or quantitative fields.
• Advanced degree preferred; demonstrated company-wide influence and execution on complex problems.
• Ability to shift across growth, monetization, international expansion, and AI product domains.
• Proven track record influencing cross-org strategy and driving outcomes through influence.

Responsibilities

• Provide senior analytical leadership across New Revenue Bets workstreams (Subscriptions, BizAI, XF APAC).
• Work directly with VPs and senior cross-functional leaders to shape strategy.
• Synthesize complex analyses into actionable executive insights and inform investments.
• Define measurement frameworks and success metrics for nascent revenue products.
• Architect scalable analytics workflows and coach other ICs and managers.

Skills

Executive-level analytics leadership

Cross-functional collaboration

Strong product sense

Data storytelling

Strategic thinking

Ambiguity management

Education

Bachelor's degree in CS/Engineering or related

MS/PhD in Statistics/CS or related

Tools

Hive

Presto

Spark

ML infrastructure

Job description

Meta seeks an experienced Data Scientist to lead product analytics within the New Revenue Bets organization. This role blends rigorous analysis with strong product sense, stepping into Subscriptions, BizAI, or XF APAC pillars to add leverage where needed.

You will partner with VPs and senior leaders, synthesize insights for executives, define measurement frameworks, and guide strategic investments. Coaching and scalable AI/ML workflows are emphasized.