Sr. Data Scientist

You connect data to the business.

You've worked alongside revenue teams enough to understand what drives their decisions.

You know an insight nobody uses isn't worth much, so you think about adoption as much as performance.

You can take something technical and explain it in a way that makes sense to the people who need to act on it.

Experience with LLM-based tooling, prompt engineering, or agentic AI workflows

Familiarity with BI tools (Omni, Looker, Tableau) for self-serve analytics delivery

Pendo's GTM Intelligence Team turns data into measurable outcomes across Sales, Marketing, and Customer Engineering.

We combine analysis, ML models, and internal tooling to answer high-value business questions and help GTM teams work faster and more effectively.

We measure success by the real business value our work creates.

As a Senior Data Scientist, you'll own the full lifecycle of intelligence solutions, from problem definition and analysis through model development, stakeholder enablement, and ongoing iteration.

You'll work directly with GTM teams to surface high-value business problems and answer them with the right mix of analytics and modeling, translating what you find into decisions that stick.

The best person for this role has strong modeling instincts, genuine curiosity about how GTM businesses operate, and the judgment to know when a complex model is the right tool — and when a well-framed SQL query gets you there faster.

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo core values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Pendo is a hybrid culture. In-office 3 days per week unless designated remote.

Benefits: Highly competitive, employer-heavy coverage (including $0 premium options), strong 401(k) match, equity, and flexible time off.

Compensation: Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide.

The expected salary range for this role to be performed in North Carolina is USD$133,000 – USD$160,000