Data Scientist
Posted 13 days ago · 0 applicants
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The role in plain words
This role focuses on product analytics, where you will analyze complex datasets, define key product metrics, and build analytical frameworks to guide business and strategy decisions. Day to day, you will collaborate with product and engineering teams, run quantitative analyses, and present findings to stakeholders. It is a temporary position for 12 to 18 months based in Tel Aviv.
- Bachelor's degree in Computer Science, Mathematics, Statistics, or another quantitative field
- At least 8 years of experience working with SQL, Python, and large-scale data analysis
- Proven experience solving complex analytical problems using quantitative methods
- Strong experience defining metrics, evaluating product performance, conducting experiments, and driving data-informed decisions
- Excellent communication and stakeholder management skills
- Master's or Ph.D. in a quantitative discipline
- Experience leveraging AI tools to optimize workflows and improve business outcomes
- Experience implementing responsible AI practices, including risk assessment, bias mitigation, and quality assurance
- Demonstrated experience with emerging AI technologies, including prompt engineering, context engineering, and AI agent orchestration
Extracted from the job description · kept up to date automatically
Who this suits
This role suits an experienced data scientist with strong SQL, Python, and metric-definition skills who enjoys cross-functional collaboration. It is less ideal for junior candidates or those seeking a permanent, non-contract position.
Full job description
Original listing · kept for referenceA global technology company is looking for an experienced
Data Scientist – Product Analytics to join a product-focused analytics team.
Located in Tel Aviv, hybrid.
Temp position for 12-18 months
Responsibilities:
• Analyze large and complex datasets to support product and business decisions.
• Define and monitor key product metrics, identify trends, and measure product performance.
• Develop analytical frameworks, conduct quantitative analyses, and generate actionable insights.
• Partner closely with Product, Engineering, and cross-functional teams to influence product strategy and roadmap decisions.
• Present findings and recommendations to stakeholders in a clear and structured manner.
Requirements:
• Bachelor's degree in Computer Science, Mathematics, Statistics, or another quantitative field.
• At least 8 years of experience working with SQL, Python, and large-scale data analysis.
• Proven experience solving complex analytical problems using quantitative methods.
• Strong experience defining metrics, evaluating product performance, conducting experiments, and driving data-informed decisions.
• Excellent communication and stakeholder management skills.
Preferred Qualifications:
• Master's or Ph.D. in a quantitative discipline.
• Experience leveraging AI tools to optimize workflows and improve business outcomes.
• Experience implementing responsible AI practices, including risk assessment, bias mitigation, and quality assurance.
Demonstrated experience with emerging AI technologies, including prompt engineering, context engineering, and AI agent orchestration
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- Hybrid
- Bachelor's degree in Computer Science, Mathematics, Statistics, or another quantitative field, At least 8 years of experience working with SQL, Python, and large-scale data analysis, Proven experience solving complex analytical problems using quantitative methods, Strong experience defining metrics, evaluating product performance, conducting experiments, and driving data-informed decisions, Excellent communication and stakeholder management skills