Udemy is looking to hire a Principal Data Scientist, Product & Pricing Analytics to ensure the vibrancy of Udemy's consumer marketplace by driving data-informed decisions about pricing, measuring the performance of econometric pricing algorithms, designing and executing experiments, creating dashboards for revenue maximization, and suggesting strategic changes in pricing and promotions based on user data insights.
Requirements
- Expert-level SQL and Python skills; experience with Databricks or similar cloud data warehouses.
- Broad knowledge of applied statistics, experimental design, and analysis of A/B tests.
- Experience working with Github and CI/CD code review processes.
- Experience building automated data pipelines using tools like Airflow and dbt.
- Exceptional data storytelling and data visualization ability.
- Experience with Tableau, and a strong eye for visual storytelling and usability, is a big plus.
- A proactive mindset with ability to translate open-ended business questions into structured analyses and actionable recommendations.
Responsibilities
- 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.
Other
- This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays.
- 6+ years of hands-on Data Science or ML Engineering experience (4+ if you have a PhD), with past work in product, customer and/or pricing analytics strongly preferred.
- Strong ownership and ability to work autonomously, while also collaborating with teams and colleagues that span global time zones.
- We anticipate the application window will be open until 11/29/2025.
- At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability.
