Principal Data Scientist - Product Analytics

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About the role

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. ZoomInfo is looking for a Principal Data Scientist to lead our product analytics function and own measurement systems across the entire product portfolio. You'll combine hands-on analytical depth with strategic scope — designing measurement frameworks, running deep-dive investigations, and shaping product decisions through rigorous data work. This role is for an exceptional analyst first: someone who writes clean SQL, thinks statistically, debugs data problems obsessively, and translates complex findings into clear business narratives that influence Product, Engineering, and executive stakeholders. What You'll Do • You will design and own measurement frameworks that connect customer behavior to business outcomes, including activation, adoption, monetization, retention, expansion, and churn • You will establish source-of-truth definitions for key metrics and KPIs across product lines, and build scalable reporting infrastructure that minimizes manual overhead • You will conduct rigorous root-cause analyses on significant shifts in product performance, investigating friction points and conversion barriers across the customer journey • You will build customer segmentation frameworks that reveal behavioral differences and identify the product experiences most strongly associated with customer success • You will quantify opportunity size, support experimentation efforts with statistically rigorous test design, and advise Product and GTM leadership on adoption trends and growth opportunities • You will redesign analytics workflows to leverage AI tools for faster investigation, and build systems that continuously monitor product performance and surface anomalies proactively • You will develop scalable self-service analytics capabilities while maintaining data governance and trust across teams and business units • You will partner with Product, Engineering, GTM, and executive teams as a trusted data advisor, elevating analytical standards and leading initiatives from opportunity identification through impact measurement What You Bring Must-Have: • 8+ years of experience in Product Analytics, Growth Analytics, Data Science, or related analytical fields • Expert-level SQL and Python skills — you write clean, efficient code and debug data issues independently • Strong statistical foundation — you understand experimental design, significance testing, and know when correlations mislead • Demonstrated ability to lead large-scale analytical initiatives with measurable business impact • Deep experience conducting investigations into customer behavior, product performance, and business outcomes, with the ability to translate findings into clear, actionable recommendations Preferred: • Experience in Product-Led Growth or self-serve SaaS (e.g., Figma, Notion, Slack, Linear, Calendly) — you understand activation loops and freemium economics • SaaS customer lifecycle analytics experience — you can map the full journey from trial to expansion • Proficiency across the modern analytics stack, including data warehousing, BI tools, SQL, and Python • Experience leveraging AI tools to improve analytical workflows and reduce manual effort • Background in Statistics, Mathematics, or Computer Science #LI-Remote #LI-VC1 Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information

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