Sr. Data Scientist

About the role

The GTM Intelligence team at Pendo develops analytical solutions and machine learning models to improve outcomes across Sales, Marketing, and Customer Engineering. In this role, you will manage the full lifecycle of data science projects, from identifying ambiguous business problems to deploying reliable models and ensuring stakeholders can effectively use your findings to make decisions. You will own the end-to-end analytical process, translating raw business needs into structured analytical plans and then into production-grade insights. A core part of your responsibility will be to act as a bridge between technical model building and commercial execution, ensuring your work drives tangible value. You will leverage modern AI-assisted development tools such as Cursor and Claude Code to rapidly prototype ideas and iterate on solutions. Furthermore, you will document your technical work meticulously and create reusable analytical patterns that support the long-term growth of the team. Finally, you will collaborate closely with GTM stakeholders to drive the adoption of your tools and models, ensuring your work is understood, trusted, and actively used.

Key facts

What you'll do

• Frame ambiguous business problems from Sales, Marketing, and Customer Engineering and apply predictive modeling or advanced analytics to mitigate risks and capture strategic opportunities.
• Translate complex analytical findings into clear, actionable recommendations for non-technical stakeholders through engaging presentations, written reports, and asynchronous video updates.
• Collaborate closely with AI engineers, revenue operations, and GTM stakeholders to ensure data solutions are not only accurate but also interpretable and actionable in real-world workflows.
• Utilize AI-assisted development tools like Cursor and Claude Code to rapidly prototype analytical approaches, iterate on models, and accelerate delivery of high-quality code.
• Design and maintain comprehensive documentation for your technical work and create reusable analytical patterns and code libraries to support the scalable growth of the GTM Intelligence team.
• Partner directly with GTM teams such as Sales and Marketing to co-develop hypotheses, test interventions, and drive the adoption of your tools and models into their daily workflows.
• Employ strong statistical reasoning and machine learning techniques to build predictive models that address specific business objectives around revenue generation and customer success.
• Manage multiple analytical priorities and competing deadlines independently, demonstrating ownership and discipline in a fast-paced, dynamic startup environment.
• Leverage your experience with recurring revenue business models to ensure your analyses reflect the unique dynamics of subscription-based customer behavior.
• Work with modern business intelligence platforms such as Omni, Looker, or Tableau to build dashboards that provide real-time visibility into key GTM metrics.
• Conduct rigorous data manipulation and insight generation using Python and SQL to clean, transform, and analyze large and complex datasets.
• Act as an analytical thought partner within the GTM Intelligence team, proposing new methodologies and improvements to existing analytical frameworks.
• Ensure all model outputs are communicated in a way that is accessible to both technical and non-technical audiences, fostering data-driven decision-making across the organization.
• Continuously seek opportunities to quantify the business impact of your work, focusing on outcomes related to retention, pipeline generation, and operational efficiency.

Requirements

• Bring 2-4 years of professional experience in data science, analytics, or a closely related quantitative field to solve complex business problems.
• Hold a Bachelor's or Master's degree in a STEM field, demonstrating a strong foundational knowledge in mathematics, statistics, or computer science.
• Show proficiency in Python for data analysis, feature engineering, and machine learning, as well as SQL for complex data manipulation and insight generation.
• Possess a strong foundation in statistics, machine learning concepts, and predictive modeling techniques to build robust and reliable analytical solutions.
• Have direct experience working within or alongside GTM functions such as RevOps, Sales operations, or Marketing analytics to understand commercial contexts.
• Demonstrate the ability to manage multiple priorities and competing projects independently while thriving in a fast-paced, deadline-driven environment.
• Have prior experience working with recurring revenue business models, understanding the specific metrics and challenges inherent in subscription-based businesses.
• Be comfortable working in a collaborative setting where you will coordinate closely with cross-functional teams to align on objectives and share insights.
• Maintain a high level of intellectual curiosity and a commitment to documenting and sharing knowledge to elevate the entire team.
• Be eligible to work in the United States without requiring sponsorship for this position at this time.
• Be willing to work hybrid, with a requirement to be in the Raleigh, NC office three days per week.

Nice to have

• Familiarity with LLM-based workflows, prompt engineering, or agentic AI approaches to enhance analytical productivity.
• Hands-on experience using modern BI platforms like Omni, Looker, or Tableau to create intuitive and insightful visualizations.
• A background in B2B SaaS environments, with specific experience in customer health scoring or product analytics metrics.
• A proven ability to quantify business impact, clearly articulating how your work improves retention, expands pipeline, or increases operational efficiency.
• Experience working on small, high-ownership teams where individual contributions have a direct and significant impact on business outcomes.

Practical notes

• This is a full-time position with a hybrid work model requiring 3 days in the Raleigh, NC office.
• The salary range for this role in USD is $133,000 - $160,000, complemented by a comprehensive benefits package.
• Benefits include employer-heavy health coverage with $0 premium options, a 401(k) match, equity participation, and flexible time off.
• Pendo is an equal opportunity employer, committed to building a diverse and inclusive workplace.
• For disability-related accommodations during the application process, please contact accommodation@pendo.io.