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Data Scientist, Product Analytics
·Israel
On-siteFull-timeProduct AnalyticsSocial Networking
A product analytics data scientist will use quantitative analysis, experimentation, and data storytelling to guide product development, business decisions, and launches for products serving people and businesses.
Responsibilities
- Define opportunities for product impact and identify solutions to important market problems.
- Use quantitative analysis to understand user behavior, product ecosystems, trends, and growth opportunities.
- Partner with Product, Engineering, Data Engineering, Marketing, Sales, Finance, and other teams on product decisions and launches.
- Set KPIs and goals, design and evaluate experiments, monitor product metrics, and investigate root causes of metric changes.
- Perform exploratory analysis to identify trends, opportunities, and levers for improving key metrics.
- Present clear, data-driven recommendations and influence product priorities, strategy, and investment decisions.
Requirements
- Bachelor’s degree in mathematics, statistics, a relevant technical field, or equivalent experience.
- At least 4 years of experience with SQL, Python, R, or comparable querying, scripting, statistical, or mathematical tools.
- At least 4 years of experience solving analytical problems with quantitative methods and leading data-driven projects from definition through execution.
- Experience defining metrics, designing experiments, understanding user behavior and product trends, and communicating actionable insights.
Nice to have
- Ongoing development of AI skills, including prompt or context engineering and agent orchestration.
- Experience integrating AI tools to improve workflows and measurable outcomes.
- Experience implementing responsible and ethical AI practices, including risk assessment, bias mitigation, and quality reviews.
- Master’s or Ph.D. degree in a quantitative field.
Benefits
- Benefits are offered in addition to base compensation.
- Opportunities for analytics skill development and career growth.