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Data Scientist, Product Analytics

Meta· Data Science
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Hybrid (Tel Aviv)Full-timePosted 1mo ago

About the role

Data Scientist role focused on product analytics at Meta, partnering with Product, Engineering, and leadership to translate large-scale behavioral data into actionable insights that shape product experiences across Facebook, Instagram, Messenger, WhatsApp, and emerging platforms.

Responsibilities

  • Lead the design and execution of complex analytical projects across product areas, applying advanced statistical methods, causal inference, and experimentation to evaluate product impact at scale
  • Develop and maintain sophisticated predictive models and forecasting frameworks to inform product roadmaps, goal setting, and resource prioritization
  • Define and evolve success metrics and measurement strategies for product initiatives, ensuring goals reflect user and business value
  • Identify and size high-impact product opportunities by synthesizing behavioral data, qualitative signals, and business context across multiple data sources
  • Partner with Product and Engineering teams to design and analyze large-scale A/B tests and feature rollouts, translating results into clear recommendations for product direction
  • Build scalable, self-service data pipelines and visualization interfaces that enable cross-functional teams to explore and act on product performance data independently
  • Communicate complex analytical findings to diverse audiences including product leadership and executives through concise data narratives and presentations
  • Contribute to functional data science strategy by identifying methodological gaps, championing analytical best practices, and setting goals across teams
  • Mentor other data scientists on analytical design, hypothesis formulation, and quantitative modeling
  • Collaborate with Data Engineering and Research partners to improve data infrastructure, reduce bias in data collection, and ensure analytical outputs accurately represent populations of interest

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • A minimum of 6 years of work experience in analytics (a minimum of 4 years with a Ph.D.)
  • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
  • Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R)

Skills

Required:Statistical analysisPredictive modelingA/B testingData visualizationCommunication
Nice to have:Mentoring
Last updated Oct 23, 2026. Interested? Apply on the company site.

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