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Sr. Data Scientist The team + the role 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. This role is based in Raleigh, NC and follows Pendo's hybrid model: in-office 3 days per week. What this looks like day-to-day Leverage data analysis, machine learning, and predictive modeling to identify opportunities and mitigate risks for our GTM teams, from problem framing through delivery and ongoing iteration Work collaboratively with data & AI engineers, analysts, revenue operations, and GTM stakeholders to ensure your work is actionable, interpretable, and clearly connected to business decisions Translate model outputs and analytical findings into clear business narratives through slides, write-ups, presentations, and async video Leverage AI-assisted development tools (Cursor, Claude Code) to accelerate delivery and prototype faster, while applying the critical thinking to validate, refine, and own the output Share and build reusable patterns, model documentation, and technical findings with the broader team Answer high-value business questions through analysis and experimentation: develop hypotheses, own the approach, and communicate findings clearly to both technical and non-technical audiences Partner with GTM teams to enable adoption of the models and tools you build, making sure they know how to use them and realize the value Who you are Beyond the qualifications, we hire through a specific lens. These are the things we'll actually look for in how you talk about your work. 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. You thrive in fast-moving, ambiguous environments. You know when a problem needs a thorough solution and when it just needs a good answer quickly. You're comfortable making a call with incomplete information and refining it as you learn more. You're curious in a way that keeps you sharp. The tools and techniques in this space change quickly, and you like to stay ahead of that. You don't usually wait to be told about something new; you're already trying it out for yourself. You've figured out how to make the most of emerging tools, including AI assistants, without handing your judgment over to them. You make the people around you better. You share what you learn and document what you build to make those around you better. You're willing to learn from others and make adjustments to make yourself better.   Must-haves 2-4 years of experience in data science, analytics, or a related quantitative field Bachelor's or master's education in STEM (science, technology, engineering, math) field  Experience using statistical computer languages (Python, SQL) to manipulate data and draw insights from large data sets Solid grasp of statistical concepts, data analysis, pr