Senior Data Scientist on Pendo's GTM Intelligence Team, owning the full lifecycle of intelligence solutions—from problem definition and data analysis to model development, stakeholder enablement, and ongoing iteration. You will work directly with GTM teams to surface high-value business questions and answer them with a balanced mix of analytics and modeling, translating findings into decisions that stick. This role is based in Raleigh, NC and follows Pendo's hybrid model: in-office three days per week. Responsibilities include leveraging data analysis, machine learning, and predictive modeling to identify opportunities and mitigate risks for GTM teams; collaborating with data and AI engineers, analysts, revenue operations, and GTM stakeholders to ensure work is actionable and clearly connected to business outcomes; translating model outputs into clear business narratives; and fostering adoption of models and tools across GTM. Qualifications include 2–4 years in data science or related field, a Bachelor's or Master's in STEM, proficiency in Python and SQL, strong statistical knowledge, and the ability to communicate complex analyses to diverse audiences. Nice-to-haves include experience with LLM-based tooling, BI tools (Looker, Tableau), and prior experience in a B2B SaaS environment.

Senior Data Scientist on Pendo's GTM Intelligence Team, owning the full lifecycle of intelligence solutions—from problem definition and data analysis to model development, stakeholder enablement, and ongoing iteration. You will work directly with GTM teams to surface high-value business questions and answer them with a balanced mix of analytics and modeling, translating findings into decisions that stick. This role is based in Raleigh, NC and follows Pendo's hybrid model: in-office three days per week. Responsibilities include leveraging data analysis, machine learning, and predictive modeling to identify opportunities and mitigate risks for GTM teams; collaborating with data and AI engineers, analysts, revenue operations, and GTM stakeholders to ensure work is actionable and clearly connected to business outcomes; translating model outputs into clear business narratives; and fostering adoption of models and tools across GTM. Qualifications include 2–4 years in data science or related field, a Bachelor's or Master's in STEM, proficiency in Python and SQL, strong statistical knowledge, and the ability to communicate complex analyses to diverse audiences. Nice-to-haves include experience with LLM-based tooling, BI tools (Looker, Tableau), and prior experience in a B2B SaaS environment.