Principal Data Scientist - Product Analytics

Reposted 2 Months Ago
Hiring Remotely in USA
Remote
137K-215K Annually
Senior level
Big Data • Information Technology • Machine Learning • Sales • Software • Database • Generative AI
The go-to-market platform to find, acquire, and grow customers.
The Role
Lead design and ownership of ZoomInfo's PLG measurement system, define KPIs and leading indicators, analyze end-to-end customer journeys, diagnose growth issues, and influence product investments. Build AI-native, automated analytics workflows, reporting, and monitoring while partnering cross-functionally to prioritize experiments and scale insights that drive adoption, retention, monetization, and expansion.
Summary Generated by Built In

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) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.

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.

Skills Required

  • 8+ years of experience in Product Analytics, Growth Analytics, Data Science, Business Intelligence, Customer Analytics, Strategy, or related fields
  • Demonstrated ability to independently lead large-scale analytical initiatives with measurable business impact
  • Advanced SQL skills
  • Advanced Python skills
  • Strong analytical foundations and experience conducting deep-dive analyses into customer behavior, product performance, and business outcomes
  • Strong statistical and experimentation knowledge
  • Experience translating complex data into actionable business recommendations and influencing senior stakeholders
  • Strong project management and prioritization skills
  • Experience building scalable reporting, monitoring, and operational processes
  • Experience supporting Product-Led Growth or self-service SaaS organizations
  • Experience with SaaS business models and customer lifecycle analytics
  • Experience leveraging AI tools to improve analytical workflows and operational efficiency (e.g., Claude, Claude Code)

ZoomInfo Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ZoomInfo and has not been reviewed or approved by ZoomInfo.

  • Healthcare Strength — Benefits include comprehensive medical, dental, and vision coverage, plus mental health, transgender healthcare, wellness programs, gym reimbursement, and notable fertility assistance. Healthcare options are often described as competitive and a prominent strength of the total rewards.
  • Parental & Family Support — Programs include generous parental leave, childcare assistance, Care.com access, and substantial adoption and surrogacy support. Family-forming benefits and leave policies indicate robust support for different life stages.
  • Leave & Time Off Breadth — Salaried employees receive unlimited time off alongside paid holidays, flexible time off, wellness days, and bereavement leave. Unlimited PTO is described as genuinely usable in some roles and a meaningful component of the package.

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The Company
HQ: Vancouver, WA
3,500 Employees
Year Founded: 2007

What We Do

ZoomInfo is the go-to-market (GTM) platform for businesses development and revenue growth. Powered by real-time data and insights, our unified engagement platform helps sales and marketing teams find, acquire, and grow customers.

Why Work With Us

ZoomInfo is where the world’s brightest minds in Data and Go-To-Market come together to do their best work. We’re a founder-led organization that recognizes your success with 2x the career mobility of our SaaS peers. Being action-oriented, resourceful, and resilient will not only help you fit in, it will help you thrive.

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