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About the Role

As a Senior Data Scientist on the GTM Intelligence Team, you will own the full lifecycle of intelligence solutions, from problem definition and analysis through model development, stakeholder enablement, and ongoing iteration. You will work directly with GTM teams to surface high-value business problems and answer them with the right mix of analytics and modeling, translating findings into decisions that stick.

Responsibilities

Leverage data analysis, machine learning, and predictive modeling to identify opportunities and mitigate risks for GTM teams, from problem framing through delivery and ongoing iteration.
Work collaboratively with data & AI engineers, analysts, revenue operations, and GTM stakeholders to ensure 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 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 built, ensuring 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.
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; ability to make a good decision with imperfect information and adjust as you learn more.

Skills

Python
SQL
Statistical concepts
Data analysis
Predictive modeling
Machine learning
AI-assisted development tools
LLM-based tooling
Prompt engineering
Agentic AI workflows
BI tools (Omni, Looker, Tableau)
B2B SaaS company experience
Product analytics
Customer health data

Location

Raleigh, NC

Work Type

Hybrid

Experience Level

Senior

Education Level

Bachelor's or master's degree in STEM (science, technology, engineering, math) field

Salary/Compensations

USD$133,000 – USD$160,000

Benefits

Highly competitive, employer-heavy coverage (including $0 premium options)
Strong 401(k) match
Equity
Flexible time off

About the Company

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.

Equal Opportunity

We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.
Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.