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.
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. This is an in-office position, requiring three days a week in the office
About the role
In the Analytics Organization at Udemy, we’re passionate about transforming the future of education using data. We’re looking for fun, collaborative, self-motivated data scientists with an insatiable sense of curiosity and a knack for asking the right questions. Our ideal candidate is an analytically creative thinker who is unafraid of ambiguity, has a track record of tackling difficult technical challenges, and has a pragmatic and relentless focus on driving meaningful business impact. We believe in building diverse, collaborative teams in which each person brings unique skills, knowledge, and experience to the table. If this opportunity sounds exciting to you, then read on!
We are looking for a Sr Data Scientist, Product Analytics, to support our Globalization pod. The Globalization pod is a collection of teams focused on customizing Udemy’s education products for non-U.S. markets around the globe. In this role, you will work with product managers, designers and engineers to drive data-informed decisions about how we prioritize, drive, and measure our international business goals. 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.
About your skills
Building: You are a hands-on builder, designing and constructing intelligent, reliable machine learning systems and analytics pipelines from the ground up. Drawing on deep expertise in statistical methods, causal inference, and ML best practices, you create modular, reproducible solutions for segmentation, forecasting, inference, and experimentation. You ensure that every component—from feature engineering to deployment and monitoring—is built with scalability, code quality, and robust performance in mind, transforming ambiguous requirements into production-ready analytics services that deliver measurable business value.
Influencing: You foster relationships across engineering, product, and analytics teams, utilizing your credibility and communication skills to advocate for best practices and align requirements. You ensure technical designs satisfy both immediate project needs and broader strategic priorities, constructively challenging assumptions when necessary to deliver optimal impact.
Technical Decision Making: You apply rigorous critical thinking and a structured approach to technical problem solving, drawing on your deep expertise in ML, MLOps, and software architecture.
Coaching and Mentorship: You share your knowledge generously, actively listening to understand team needs and offering targeted guidance on advanced machine learning practices and code quality. Your mentorship elevates team capability, fosters continuous learning, and ensures high standards in modeling.
What you’ll be doing:
Working with the Globalization PMs and Marketing teams to quantify, understand, and prioritize Udemy’s global business and product goals.
Drive data-informed decision making within the Globalization pod by equipping PMs and engineers with self-service analytics tools, and conducting ad hoc analyses and causal studies for the team.
Build metrics & dashboards for the Globalization product and marketing teams to understand user behaviors, key customer journeys, and help identify challenges and opportunities for the team based on patterns in user data.
Build metrics to measure course enrollments, course engagement, and user retention in specific markets, and use those metrics to help brainstorm potential product experiments to drive improvements in them.
Help the team establish high-quality eventing to allow the tracking of detailed user behaviors along customer journeys through Udemy’s products.
Work with the team to develop a rich program of experimentation and A/B testing to improve learner experiences in all of Udemy’s products within key international markets.
Help PMs and engineers understand differences in local learner consumption patterns and user behaviors in various global markets.
Serve as the data science subject matter expert for the team, and help drive the product analytics roadmap within the Globalization pod.
Serve as technical lead on all work related to user journeys, growth, and conversion.
Influence product prioritization and key business decisions through data-driven insights.
Define metrics and build operational dashboards to track business and product health.
Identify growth opportunities in global markets and define product interventions
Be part of product ideation and experimentation plan development.
Design and analyze randomized controlled experiments (A/B tests).
Develop robust data pipelines and continuously improve the quality and accessibility of data.
Build Udemy’s technical brand through talks, blog posts, and publications.
Take responsibility for leading major team initiatives, and independently driving a product-focused roadmap for your data science work.
What you'll have
Demonstrated track record leading major data science or analytics team projects in prior roles.
5+ years of relevant hands-on experience in product or business analytics roles. Experience with conversion rate optimization or user growth teams is highly desired.
Ability to communicate effectively with both technical and non-technical stakeholders in writing and verbally.
Strong business intuition and judgment, and experience applying prioritization frameworks to your work (e.g., RICE, Eisenhower matrix).
Exceptional data storytelling and data visualization ability. Experience with Mode and/or Tableau is a plus.
Broad knowledge of applied statistics, experimental design, and analysis of A/B tests.
Expert SQL ability and proficiency with 1+ programming languages (e.g., Python).
Experience building automated big data pipelines using tools like Airflow and/or dbt.
Degree in data science, computer science, statistics, or other quantitative field (such as economics, political science, or engineering).
Ability and willingness to work autonomously, relentlessly prioritize, and collaborate with team members in U.S. time zones as well as locally in India.
#LI-ST5
You’ll grow 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. Many people are diving into AI lately, but what you focus on is up to you.
AI is real here.
We use it in the way we learn and the way we work. You’ll have the space and tools to experiment, apply, and get better at using AI in practical ways.
You’ll own your work.
We trust people to lead, make decisions, and follow through. You don’t need to wait for permission or layers of approval to have an impact.
You’ll build with others.
We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction.
You’ll see your impact.
What you build helps people grow their skills, change their careers, or find a path forward. You’ve got the experience, why not use it to help others gain theirs?
Bring your curiosity. We’ll bring the platform and the support. Let’s LEARN together.
Our Benefits Start with UOur benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. 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. For details on region-specific benefits, please refer to the information provided during the hiring process.
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Top Skills
Udemy Chennai, Tamil Nadu, IND Office
Udemy Chennai, IN Office
Chennai, India
