Data Scientist

Coursera and Udemy are now one company, creating one of the world’s most comprehensive skills development platforms for the AI era. This strengthens our ability to accelerate AI-powered innovation and shape how the world discovers and builds skills at a pivotal moment of change. Read more about the combined company by visiting our blog.

**About Udemy
**Udemy is an AI-powered skills acceleration platform transforming how companies and individuals across the world build the capabilities needed to thrive in a rapidly evolving workplace. By combining on-demand, multi-language content with real-time innovation, Udemy delivers personalized experiences that empower organizations to scale workforce development and help individuals build the technical, business, and soft skills most relevant to their careers. Today, thousands of companies, including Samsung SDS America, On24, Tata Consultancy Services, The World Bank, and Volkswagen, rely on Udemy Business for its enterprise solutions to build agile, future-ready teams. Udemy is headquartered in San Francisco, with hubs across the United States, Australia, India, Ireland, Mexico, and Türkiye. Udemy recently combined with Coursera to create one of the world’s most comprehensive skills development platforms.

Where we Work

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 Türkiye.

About your skills

You’re a data scientist with strong product instincts who enjoys using data to understand how customers use products and what we should build next. You’re comfortable taking an ambiguous product question, figuring out the right analytical approach, and turning your findings into clear recommendations for product teams.

You’re fluent in SQL, Python, experimentation, and applied statistics. You know when a straightforward analysis is enough and when a problem calls for more advanced methods. You partner naturally with product managers, designers, and engineers, and are as comfortable contributing to a roadmap discussion as you are digging into the data.

You care about doing rigorous work, but also about making that work useful. You look for ways to improve how teams measure product success, run experiments, and use data to make decisions. You’re also curious about emerging AI technologies and how they can improve our products and the way we work.