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Join Udemy. Help define the future of learning.
Udemy is an AI-powered reskilling 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.Ìý
Learn more about us on our.
Hybrid work
Udemy is headquartered in San Francisco with global offices in Australia, India, Ireland, Türkiye, and other US locations. Our robust hybrid work model spans San Francisco, Denver, Ankara, Dublin, and Melbourne. This hybrid position requires two days per week in the office at the nearest hub. Learn more about us on our.
About the role
In the Data 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.Ìý
About You
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!
At Udemy, data scientists generally belong to one of three career tracks:
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Insights: Focused on analytics, data visualization, A/B testing, and stakeholder partnership.
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Inference: Focused on causal or statistical inference for interpretation of data.
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Algorithms: Focused on machine learning and building production data products.
For this posting, we are looking for a Staff Data Scientist in the Insights track to partner with 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.
What you’ll be doing:
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Working with the Globalization PMs and Marketing teams to quantify, understand, and prioritize Udemy’s global business and product goals.Ìý
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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.Ìý
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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.Ìý
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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.
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Help the team establish high-quality eventing to allow the tracking of detailed user behaviors along customer journeys through Udemy’s products.Ìý
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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.
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Help PMs and engineers understand differences in local learner consumption patterns and user behaviors in various global markets.Ìý
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Serve as the data science subject matter expert for the team, and help drive the product analytics roadmap within the Globalization pod.
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Serve as technical lead on all work related to user journeys, growth, and conversion.
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Influence product prioritization and key business decisions through data-driven insights.
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Define metrics and build operational dashboards to track business and product health.
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Design and analyze randomized controlled experiments (A/B tests).
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Develop robust data pipelines and continuously improve the quality and accessibility of data.
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Build Udemy’s technical brand through talks, blog posts, and publications.
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Take responsibility for leading major team initiatives, and independently driving a product-focused roadmap for your data science work.Ìý
What you'll have
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Demonstrated track record leading major data science or analytics team projects in prior roles.
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5+ years of relevant hands-on experience in product or business analytics roles.
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Ability to communicate effectively with both technical and non-technical stakeholders in writing and verbally.
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Strong business intuition and judgment, and experience applying prioritization frameworks to your work (e.g., RICE, Eisenhower matrix).
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Exceptional data storytelling and data visualization ability. Experience with Mode and/or Tableau is a plus.Ìý
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Broad knowledge of applied statistics, experimental design, and analysis of A/B tests.
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Expert SQL ability and proficiency with 1+ programming languages (e.g., Python).
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Experience building automated big data pipelines using tools like Spark, Airflow, and dbt.
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Master’s degree or above in data science, computer science, statistics, or other quantitative field (such as economics, political science, or engineering).
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Ability and willingness to work autonomously, relentlessly prioritize, and collaborate with team members in U.S. time zones as well as locally in India.
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Why work here?
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 LEARNÌýtogether.Ìý
Our Benefits Start with U
Our 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 & 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.Ìý
Information regarding data privacy is available within the.
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