Principal Data Scientist - Product Analytics

<div class="content-intro"><p>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.</p></div><h1>Overview</h1> <p>We are seeking a Principal Data Scientist to lead ZoomInfo's product analytics function and own our measurement systems across the product portfolio. This is a technical leadership role for someone who is fundamentally an exceptional analyst first - someone obsessed with understanding customer behavior through data, with the ability to influence strategy through insights.</p> <p> </p> <p>This role combines hands-on analytical depth with strategic scope. You'll design measurement frameworks, conduct deep-dive investigations, and drive product decisions through data. While we're particularly interested in candidates with PLG experience, what matters most is your ability to rapidly understand any product domain, ask the right questions, and uncover insights that shape business outcomes.</p> <p> </p> <p>The ideal candidate is an analytically relentless someone who writes clean SQL, thinks statistically, debugs data problems obsessively, and translates findings into clear business narratives. You're comfortable in ambiguity, own investigations from scratch, and build scalable analytical systems. Leadership here means elevating analytical standards and being a trusted data partner to Product, Engineering, and business teams.</p> <p><br><br></p> <h1>What You'll Do</h1> <h3>Product Measurement & Analytics Architecture</h3> <ul> <li>Design and own measurement frameworks that connect customer behavior to business outcomes (activation, adoption, monetization, retention, expansion, churn)</li> <li>Establish source-of-truth definitions for key metrics and KPIs across product lines</li> <li>Build scalable reporting infrastructure and dashboarding systems that minimize manual overhead</li> <li>Develop leading indicators that predict customer success and business impact</li> <li>Ensure measurement consistency and data quality across teams and business units</li> </ul> <h3>Deep-Dive Investigation & Diagnostics</h3> <ul> <li>Conduct rigorous root-cause analyses on significant changes in product performance or business metrics</li> <li>Investigate customer behavior patterns, friction points, and conversion barriers across the customer journey</li> <li>Build customer segmentation frameworks that reveal behavioral differences and predict outcomes</li> <li>Identify the behaviors and product experiences most strongly associated with customer success</li> <li>Translate complex analyses into clear business narratives that shape decisions</li> </ul> <h3>Growth & Product Insights</h3> <ul> <li>Quantify opportunity size and identify high-leverage areas for product investment</li> <li>Support experimentation efforts by designing test frameworks and evaluating results with statistical rigor</li> <li>Build analytical frameworks that help teams prioritize investments across the customer lifecycle</li> <li>Advise Product and GTM leadership on customer trends, adoption patterns, and growth opportunities</li> <li>Measure business impact of major product initiatives and roadmap decisions</li> </ul> <h3>AI-Native Analytics & Operational Excellence</h3> <ul> <li>Redesign analytics workflows to leverage AI tools (Claude, automation, etc.) for