About the Role

This role is for a Data Scientist (Technical Leadership) at Meta, focusing on driving product impact through data analysis and strategic insights. Responsibilities include solving complex problems with data, guiding product development, and communicating findings to stakeholders. The position requires extensive experience in analytics, statistical modeling, and cross-functional collaboration.

Key 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
• Effectively communicate insights and recommendations to stakeholders

Required Skills & Qualifications

Must Have:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 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 with predictive modeling, machine learning, and experimentation/causal inference methods

Nice to Have:

• 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
• 10+ years of experience doing complex quantitative analysis in product analytics

Benefits & Perks

• bonus
• equity
• benefits