Director - Data Scientist

Meta; Menlo Park (CA); On-site; USD 253,000 - 314,000; Full time

Job summary

Meta in Menlo Park is seeking a Director - Data Scientist to shape product strategy through data-driven analysis. You will partner with Product and Engineering to quantify opportunities, test hypotheses, and drive measurable impact at scale across global products.

The role requires leading analytics in an IC capacity, strong framing and communication, and experience applying AI tools to optimize workflows. You will influence roadmaps and collaborate across teams to deliver high-impact results.

Qualifications

• 10+ years of experience in data science or analytics.
• Experience leading analytics in an IC capacity with cross-functional partners.
• Strong framing and communication to drive alignment across teams.

Responsibilities

• Apply data science to large, complex datasets and solve challenging problems.
• Develop product strategies using quantitative analysis, experiments, and data presentation.
• Define and track product success with key metrics and forecasts.
• Collaborate with Product, Engineering and cross-functional teams to influence strategy and investments.
• Formulate hypotheses, make data-driven decisions, and surface areas for deeper investigation.

Skills

Framing and communication

Data science

Cross-functional collaboration

Data-driven decisions

Tools

AI tools

Job description

Meta is hiring a Director - Data Scientist in Menlo Park, CA (onsite) to help shape product strategy with data-driven analysis. In this role, you will partner across Product and Engineering to quantify opportunities, test hypotheses, and drive measurable impact at scale across products used by billions of people and hundreds of millions of businesses. The salary range for this position is USD 253,000 - 314,000 per year.

What you’ll do

• Use data science expertise to work with large, complex datasets and solve a range of challenging problems with appropriate analytical and statistical approaches.
• Apply quantitative analysis, experimentation, data mining, and data presentation to develop product strategies for global-scale products.
• Define and track product success by setting goals, forecasting outcomes, and monitoring key product metrics to understand trends.
• Identify and measure opportunities to more responsibly leverage cutting-edge technology.
• Define, understand, and test levers to improve product performance, then use findings to drive roadmaps through clear recommendations.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
• Navigate ambiguity by forming clear hypotheses, making data-driven decisions, and proactively flagging areas requiring deeper investigation.

Minimum requirements

• 10+ years of experience in data science or analytics, including leading analytics work in an IC capacity, collaborating with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization, and strategy development.
• Strong skills in framing and communication to clearly explain analysis and drive alignment across teams.

Preferred qualifications

• Experience integrating AI tools to optimize or redesign workflows, resulting in measurable impact (such as efficiency gains and quality improvements).
• Evidence of ongoing AI skill development (for example, prompt/context engineering and agent orchestration) and staying current with emerging AI technologies.
• Experience with predictive modeling, machine learning, and experimentation or causal inference methods.
• Experience implementing responsible, ethical AI practices, including risk assessment, bias mitigation, and quality and accuracy reviews.