Principal Data Scientist - Product Analytics

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

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