Principal Data Scientist, Product & Pricing Analytics

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Udemy is an AI-powered skills acceleration platform built to help people and teams grow. It's personalized, practical, and focused on real-world impact.

Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they're picking up something new or leveling up to stay ahead.

Over 80 million learners and 17,000 businesses already learn with Udemy. If you're excited by change, energized by learning, and ready to have a real impact, you'll feel right at home.

Learn more about us on our company page.

Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Turkiye. This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays.

You're a data scientist who's passionate about turning raw data into meaningful insight and action. You know that great analysis doesn't just explain what happened; it helps people understand why it matters and what to do next. You're fluent in SQL, Python and Experimentation best practices, and comfortable navigating ambiguous business problems. You thrive in cross-functional environments, especially when working closely with Product, Marketing and Engineering teams.

You're equal parts technical and communicative, and the intersection of data science and storytelling excites you. You enjoy partnering with cross-functional stakeholders, and you're energized by uncovering patterns in behavior that drive real outcomes for customers. You're curious, a fast learner, and constantly thinking about how to scale your impact through automation and proactive insight.

This is a highly visible role that sits at the intersection of product, data science, and pricing strategy. The Principal Data Scientist, Product & Pricing Analytics will play a key role in ensuring the vibrancy of Udemy's consumer marketplace.

In this role, you will work with stakeholders in Product and Marketing to drive data-informed decisions about how we price courses, measure the performance of our econometric pricing algorithms, design and execute experiments, create dashboards to drive revenue maximization efforts, and suggest strategic changes in our pricing and promotions strategy based on insights from user data. Success in this role will require a combination of strong communication and collaboration skills, sharp product sense, a customer‑centric mindset, and solid technical data science skills.

We are interested in building a diverse, collaborative, and fun environment. Come help us improve lives through learning!

• Serve as the embedded product data science partner in a cross‑functional team responsible for pricing and product experimentation at Udemy, including PMs, Engineers, and Marketers.
• Work with the team to develop a rich program of experimentation to improve the revenue performance of our consumer marketplace including metric creation, experiment design, power analysis, and analysis of experiment results.
• Use advanced analytics techniques (e.g., clustering, regression, forecasting) to uncover insights that shape how we serve consumer accounts.
• Drive data‑informed decision‑making within the Product and Pricing teams by equipping PMs, Marketers and Engineers with self‑service analytics tools, and conducting ad hoc analyses and causal studies for the team.
• Measure price elasticities, average selling prices, and conversion rates in our marketplace, and use those metrics to help brainstorm potential price experiments to drive revenue gains.
• Work with Udemy's Pricing & Promotions team to quantify, understand, and prioritize improvements to our pricing system. Collaborate with Data Engineering to improve data pipelines and access.

• Bachelor's degree in a relevant technical field, or equivalent practical experience.
• 6+ years of hands‑on Data Science or ML Engineering experience (4+ if you have a PhD), with past work in product,…