Data Scientist

• Partner with Product, Design, Engineering, AI/ML, Marketing and Finance teams to identify key areas of opportunity and define metrics aligned with business goals.
• Analyze user behavior, product performance, and customer friction, to generate actionable insights that inform product strategy.
• Shape the product roadmap by sizing opportunities and quantifying business impact, modeling ROI, and aligning stakeholders on the highest-value product investments.
• Develop and manage scalable dashboards, KPIs, automated reports and self-serving tooling to provide visibility into product health and performance.
• Own and scale experimentation frameworks (including A/B and multivariate testing) to ensure consistent, rigorous measurement of product performance and feature success
• Advance the product analytics function by leveraging AI, machine learning and modern statistical methods (i.e. regression, causal inference, predictive modeling) to strengthen insights, streamline workflows, and promote best-in-class practices.
• Act as a thought partner to senior leadership, translating complex data into compelling narratives that support strategic decisions.
• Lead and develop Product Analysts, providing guidance on technical skills, stakeholder management, and career growth.
• Foster a culture of data literacy and continuous improvement by aligning cross-functional teams on objectives, key metrics, analytical techniques, and data governance.

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