Sr. Data ScientistNew Raleigh, NC

About the role

Pendo's GTM Intelligence Team combines analysis, ML models, and internal tooling to answer high-value business questions and help GTM teams work faster and more effectively. The Senior Data Scientist owns the full lifecycle of intelligence solutions, from problem definition and analysis through model development, stakeholder enablement, and ongoing iteration. They work directly with GTM teams to surface high-value business problems and answer them with the right mix of analytics and modeling, translating what they find into decisions that stick.

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
• Collaborate 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

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

Qualifications

• Must have a Bachelor's or Master's degree in a STEM field
• Must have 2-4 years of experience in data science, analytics, or a related quantitative field
• Must have experience using statistical computer languages (Python, SQL) to manipulate data and draw insights from large data sets
• Must have a solid grasp of statistical concepts, data analysis, predictive modeling, and machine learning
• Must have experience working in or alongside a GTM function, such as Sales ops, Marketing analytics, Customer Success, or RevOps
• Must have direct experience working in or alongside a GTM function, such as Sales ops, Marketing analytics, Customer Success, or RevOps
• Must have comfort navigating ambiguity and moving fast; you can make a good decision with imperfect information and adjust as you learn more

Skills

• Strong modeling instincts
• Genuine curiosity about how GTM businesses operate
• Judgment to know when a complex model is the right tool — and when a well-framed SQL query gets you there faster

Benefits

The role is based in Raleigh, NC and follows Pendo's hybrid model: in-office 3 days per week.

Pay

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

Schedule

In-office 3 days per week unless designated remote.