Data Scientist, Product Analytics

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As a Data Scientist at Meta, you will shape the future of people‑facing and business‑facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses worldwide. You will collaborate on a wide array of product and business problems with cross‑functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges, influence product strategy and investment decisions, and focus on impact.

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• Defining new opportunities for product impact and influencing product and sales to solve the most impactful market problems
  
• Applying expertise quantitative analysis and the presentation of data to see beyond the numbers and understand how users interact with growth products
  
• Working as a key member of the product team to solve problems and identify trends and opportunities
  
• Informing, influencing, supporting, and executing product decisions and launches in partnership with Product, Engineering, and cross‑functional teams
  
• Setting KPIs and goals, designing and evaluating experiments, monitoring key product metrics, and understanding root causes of metric changes
  
• Conducting exploratory analysis to discover new opportunities, including understanding ecosystems, user behaviors, and long‑term trends, and identifying levers to move key metrics
  

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• Bachelor’s degree in Mathematics, Statistics, a relevant technical field, or equivalent experience
  
• 4+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R)
  
• 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long‑term product trends, and leading data‑driven projects from definition to execution (including defining metrics, experiments, design, and communicating actionable insights)
  

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• Master’s or Ph.D. degree in a quantitative field
  

Meta builds technologies that help people connect, find communities, and grow businesses. Since launching Facebook in 2004, Meta has transformed digital connection and is now moving beyond 2D screens toward immersive experiences such as augmented and virtual reality. Meta’s mission is to continue shaping a future where digital connection goes beyond screens, distance, and physical constraints.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only and do not include bonus, equity, or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Full‑time – Seniority level: Not applicable – Job function: Engineering and Information Technology – Industries: Technology, Information and Internet