Data Scientist, Product Analytics STE 18 Month Contract
Meta· Data Science
Hybrid (Tel Aviv)TemporaryPosted 2w ago
About the role
Data Scientist role at Meta focusing on shaping product analytics across Meta’s family of applications. Develop hypotheses, analyze large data sets, and influence product strategy through data-driven storytelling. Short-term STE position based in Tel Aviv, Israel.
Responsibilities
- Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
- Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
- Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
- Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
- Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
Qualifications
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
- Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
- 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
- 2+ 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, experiment design, and communicating actionable insights]
Skills
Required:SQLPythonExperiment design
Nice to have:Data visualization
Last updated Oct 23, 2026. Interested? Apply on the company site.
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