Sr. Data Scientist

Pendo•Raleigh, NC

5h•$133,000 - $160,000•Hybrid

About The Position

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.

Requirements

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, predictive modeling, and machine learning.
Team oriented and highly agile thinker
Self-motivated with the ability to work independently and manage multiple priorities concurrently
Clear communication skills to present complex analyses in a digestible format for diverse audiences
A true team player with a collaborative, positive approach to solving challenges and supporting colleagues
Experience with recurring revenue-based business models preferred
Direct experience working in or alongside a GTM function, such as Sales ops, Marketing analytics, Customer Success, or RevOps
Comfort navigating ambiguity and moving fast; you can make a good decision with imperfect information and adjust as you learn more

Nice To Haves

Experience with LLM-based tooling, prompt engineering, or agentic AI workflows
Familiarity with BI tools (Omni, Looker, Tableau) for self-serve analytics delivery
Prior experience working on a small, high-ownership team where scope is broad and expectations are high
Comfort quantifying the business impact of your work — you can tie model outputs to pipeline, retention, or efficiency metrics, not just model performance
Background at a B2B SaaS company, ideally with exposure to product analytics or customer health data

Responsibilities

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