Data Scientist, Analytics Technical Leadership

About the Data Scientist, Analytics Technical Leadership Role at Meta

Meta is seeking experienced Data Scientists to drive significant impact across various product areas. In the Data Scientist, Analytics Technical Leadership role, you will be a pivotal figure, collaborating closely with cross-functional partners to identify and resolve complex problems through rigorous data analysis. Your expertise will be crucial in shaping product development, quantifying new opportunities, and ensuring that Meta's products consistently deliver value to both users and the company.

This position requires a leader who can guide teams with data-driven insights, formulate clear hypotheses, and apply advanced analytical approaches to validate them. You will be responsible for crafting compelling data-driven narratives, presenting actionable insights, and building strong credibility with stakeholders across the organization. Joining Meta means becoming part of a world-class analytics community that prioritizes continuous skill development and career growth in analytics and beyond.

Key Responsibilities

• Work with complex data sets to solve challenging problems using analytical and statistical methods.
• Apply technical expertise in quantitative analysis, experimentation, and data mining to inform and develop product strategies.
• Identify and measure success by setting clear goals, forecasting trends, and monitoring key performance metrics.
• Partner with cross-functional teams to effectively inform and execute product strategy and critical investment decisions.
• Build the long-term vision and strategic direction for key programs and products.
• Collaborate with executives to define and develop robust data platforms and instrumentation.
• Effectively communicate complex insights and recommendations to diverse stakeholders.
• Define success metrics, forecast changes, and establish team goals to drive performance.
• Support the development of comprehensive roadmaps and coordinate analytics efforts across multiple teams.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience (e.g., 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 an Individual Contributor (IC) capacity.
• Demonstrated experience collaborating effectively with Engineering and cross-functional partners, guiding data-influenced product planning, prioritization, and strategy development.
• Experience working effectively with and leading complex analytics projects involving multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics, and Finance.
• Proven experience with predictive modeling, machine learning, and experimentation/causal inference methods.
• Experience communicating complex technical topics in a clear, precise, and actionable manner.

Preferred Qualifications

• 10+ years of experience communicating the results of analyses to leadership teams to influence strategy.
• Master's 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 performing complex quantitative analysis in product analytics.

About Meta

Meta is at the forefront of building technologies that empower people to connect, foster communities, and grow businesses. Since Facebook's launch in 2004, the company has consistently transformed how people interact, with apps like Messenger, Instagram, and WhatsApp connecting billions worldwide. Meta is now venturing beyond 2D screens, pioneering immersive experiences such as augmented and virtual reality to shape the next evolution in social technology. Those who join Meta become part of a movement to build a future that transcends current digital connection possibilities, pushing past the constraints of screens, the limits of distance, and even the rules of physics.

Meta is an Equal Employment Opportunity and Affirmative Action employer, committed to diversity and inclusion. The company does not discriminate based on various protected characteristics and considers qualified applicants with criminal histories in accordance with applicable laws. Meta participates in the E-Verify program in certain locations and may utilize AI/ML technologies in its application process.

Meta is dedicated to providing reasonable accommodations for candidates with disabilities during the recruiting process. For assistance or accommodations, please contact accommodations-ext@meta.com.

Key skills/competency

• Data Analysis
• Quantitative Analysis
• Experimentation
• SQL
• Python
• Predictive Modeling
• Machine Learning
• Causal Inference
• Product Strategy
• Stakeholder Communication