Udemy
Join to apply for the Principal Data Scientist, Product & Pricing Analytics role at Udemy.
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: transform lives through learning. Everyone around the world builds skills that impact careers, and your work helps people grow their expertise, whether they’re picking something new or leveling up to stay ahead.
About This Role This highly visible role sits at the intersection of product, data science, and pricing strategy. As Principal Data Scientist, you will partner with Product and Marketing to drive data‑informed decisions about course pricing, measure the performance of econometric pricing algorithms, design and execute experiments, build dashboards, and suggest strategic changes in our pricing and promotions strategy based on insights from user data.
What You’ll Be Doing
Serve as the embedded product data science partner in a cross‑functional team responsible for pricing and product experimentation at Udemy, collaborating with PMs, Engineers, and Marketers.
Develop a rich program of experimentation to improve the revenue performance of our marketplace, including metric creation, experiment design, power analysis, and analysis of experiments.
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 stakeholders with self‑service analytics tools and conducting ad hoc analyses and causal studies.
Measure price elasticities, average selling prices, and conversion rates in our marketplace, and use those metrics to 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, collaborating with Data Engineering to improve data pipelines and access.
What You’ll Have
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, customer and/or pricing analytics strongly preferred.
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 is a big plus.
A proactive mindset with ability to translate open‑ended business questions into structured analyses and actionable recommendations.
Strong ownership and ability to work autonomously, while also collaborating with teams and colleagues that span global time zones.
Compensation Range $204,000—$255,000 USD, with base salary and equity eligible.
Why Work Here Learning is part of the job. You’ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. AI is real here—use it to experiment, apply, and get better at using AI in practical ways. You’ll own your work, collaborate openly, and see your impact building products that grow people’s skills and change careers.
Benefits and EEO Statement Our benefits start with you and were built to provide you and your family with the protection and care you need. Benefits vary by region, and we encourage applicants to review our Australia Benefits, India Benefits, Ireland Benefits, Mexico Benefits, Turkiye Benefits & US Benefits pages to get an understanding of some of the benefits we offer. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies. 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, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you! Information regarding data privacy is available within the Udemy Careers Privacy Notice.
#J-18808-Ljbffr
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: transform lives through learning. Everyone around the world builds skills that impact careers, and your work helps people grow their expertise, whether they’re picking something new or leveling up to stay ahead.
About This Role This highly visible role sits at the intersection of product, data science, and pricing strategy. As Principal Data Scientist, you will partner with Product and Marketing to drive data‑informed decisions about course pricing, measure the performance of econometric pricing algorithms, design and execute experiments, build dashboards, and suggest strategic changes in our pricing and promotions strategy based on insights from user data.
What You’ll Be Doing
Serve as the embedded product data science partner in a cross‑functional team responsible for pricing and product experimentation at Udemy, collaborating with PMs, Engineers, and Marketers.
Develop a rich program of experimentation to improve the revenue performance of our marketplace, including metric creation, experiment design, power analysis, and analysis of experiments.
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 stakeholders with self‑service analytics tools and conducting ad hoc analyses and causal studies.
Measure price elasticities, average selling prices, and conversion rates in our marketplace, and use those metrics to 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, collaborating with Data Engineering to improve data pipelines and access.
What You’ll Have
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, customer and/or pricing analytics strongly preferred.
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 is a big plus.
A proactive mindset with ability to translate open‑ended business questions into structured analyses and actionable recommendations.
Strong ownership and ability to work autonomously, while also collaborating with teams and colleagues that span global time zones.
Compensation Range $204,000—$255,000 USD, with base salary and equity eligible.
Why Work Here Learning is part of the job. You’ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. AI is real here—use it to experiment, apply, and get better at using AI in practical ways. You’ll own your work, collaborate openly, and see your impact building products that grow people’s skills and change careers.
Benefits and EEO Statement Our benefits start with you and were built to provide you and your family with the protection and care you need. Benefits vary by region, and we encourage applicants to review our Australia Benefits, India Benefits, Ireland Benefits, Mexico Benefits, Turkiye Benefits & US Benefits pages to get an understanding of some of the benefits we offer. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies. 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, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you! Information regarding data privacy is available within the Udemy Careers Privacy Notice.
#J-18808-Ljbffr