Principal Data Scientist - Product Analytics at ZoomInfo Technologies

Job description

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 about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here . Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $136,500 — $214,500 USD About us: ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, enables sales, marketing, and customer success teams to execute their go-to-market strategy with confidence. Powered by the industry's most comprehensive B2B data, including more than 100 million companies, 500 million contacts, and billions of signals, ZoomInfo delivers the intelligence, automation, and integrations that modern revenue teams need to identify, engage, and convert their best buyers. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here . ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.

Requirements

Must-haves

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
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

Nice-to-haves

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
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here .

Application prep

Use the role’s language and application details while tailoring your materials.

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