Data Scientist, Analytics (Technical Leadership)

Responsibilities

• Work with complex data sets to solve challenging problems using analytical and statistical approaches
• Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
• Identify and measure success through goal setting, forecasting, and monitoring key metrics
• Partner with cross-functional teams to inform and execute product strategy and investment decisions
• Build long-term vision and strategy for programs and products
• Collaborate with executives to define and develop data platforms and instrumentation
• Effectively communicate insights and recommendations to stakeholders
• Define success metrics, forecast changes, and set team goals
• Support developing roadmaps and coordinate analytics efforts across teams

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Mathematics, Statistics, Operations Research
• 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
• 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
• Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
• Experience with predictive modeling, machine learning, and experimentation/causal inference methods
• Experience communicating complex technical topics in a clear, precise, and actionable manner

Qualifications

• Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Preferred Qualifications: 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
• Masters or Ph.D. Degree in a quantitative field
• Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
• 10+ years of experience doing complex quantitative analysis in product analytics
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration)
• Demonstrated ability to adhere to and implement responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

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.

Compensation

$210,000/year to $281,000/year + bonus + equity + benefits