Product Data Scientist

About the Role We are looking for an experienced Product Data Scientist to support data-driven product development and decision-making. In this role, you will partner closely with Product, Engineering, UX, and business stakeholders to deliver actionable insights that improve product experience, engagement, and adoption. You will be embedded within specific product areas, owning the product data strategy and helping teams move from intuition to evidence through metrics, experimentation, and analytics. Key Responsibilities • Partner with Product, Engineering, UX, and business teams to identify opportunities for product improvements, new features, and enhanced customer experience • Serve as the subject matter expert for product data and analytics within assigned product areas • Define product success metrics and key performance indicators (KPIs), and ensure alignment with business goals • Design, analyze, and interpret A/B tests and experiments to evaluate product changes • Analyze large and complex datasets to uncover insights related to product usage, engagement, and retention • Build and maintain automated dashboards and reports that enable self-service analytics for stakeholders • Collaborate with data engineering and analytics teams to ensure reliable data pipelines and high data quality • Translate analytical findings into clear, actionable recommendations for senior leadership • Evangelize data-driven insights, frameworks, and best practices across teams • Act with urgency, proactively identify roadblocks, and work cross-functionally to drive impact Basic Qualifications • Bachelor’s degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Finance) or equivalent practical experience • 7+ years of experience in data science, product analytics, or business analytics within a SaaS or technology environment • Strong experience using SQL for data analysis and validation • Proven ability to analyze data from multiple sources and distill insights into clear business recommendations • Hands-on experience with data visualization tools such as Tableau, Power BI, Looker, or similar • Solid foundation in statistics and experimental design • Experience working closely with Product and Engineering teams • Strong communication skills with the ability to explain technical concepts to non-technical audiences • Familiarity with agile or scrum product development methodologies Preferred Qualifications • Experience with A/B testing, cohort analysis, user segmentation, and product experimentation • Experience building or refining machine learning models • Proficiency in Python or R • Familiarity with data engineering concepts and analytics pipelines • Strong stakeholder management skills and the ability to lead through influence • Highly motivated self-starter who thrives in a fast-paced, collaborative environment