- 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: 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.
This position is open to all candidates.