Data Scientist – Product Analytics

We are looking for a Data Scientist to join a global technology company and play a key role in shaping product strategy and business decisions through data-driven insights.

The role combines product analytics, experimentation, statistical analysis, and close collaboration with Product, Engineering, Research, and other cross-functional teams. You will work with large and complex datasets to understand user behavior, identify opportunities, measure product impact, and translate data into actionable recommendations that influence product strategy and investment decisions.

Responsibilities:

• Work with large and complex datasets to solve a wide range of challenging product and business problems.
• Apply quantitative analysis, statistical methods, experimentation, data mining, and other analytical approaches.
• Define and monitor key product metrics, goals, and success measures.
• Identify opportunities and product levers and provide insights that influence product roadmaps and priorities.
• Design and analyze experiments and evaluate the impact of product initiatives.
• Identify trends, understand user behavior, and analyze long-term product performance.
• Develop hypotheses and use rigorous analytical approaches to validate them.
• Translate complex data into clear, actionable insights and recommendations.
• Partner closely with Product, Engineering, Research, Data Engineering, and other cross-functional teams to influence product strategy and investment decisions.
• Lead data-driven projects from problem definition through analysis, recommendations, and execution.

Requirements:

• 4+ years of experience in Data Science, Product Analytics, Analytics, or a related field.
• Strong experience with SQL and programming/scripting languages such as Python and/or R.
• Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or another relevant quantitative/technical field.
• Strong experience solving analytical problems using quantitative and statistical approaches.
• Experience defining metrics, designing and analyzing experiments, and translating findings into actionable insights.
• Experience leading data-driven projects from definition through execution.
• Strong understanding of user behavior, product ecosystems, and long-term product trends.
• Excellent communication and presentation skills, with the ability to turn complex analysis into clear business insights.
• Proven ability to collaborate with Product, Engineering, and cross-functional stakeholders.
• Strong product sense and the ability to influence decision-making through data and insights.

Advantages:

• Experience in Product Analytics, Product Data Science, or Product Strategy roles.
• Experience working with consumer-facing products, digital platforms, or market research environments.
• Experience analyzing user behavior at scale and measuring product impact.
• Strong business understanding and product intuition.
• Experience working in highly cross-functional environments with Product, Engineering, and business stakeholders.