Staff Data Scientist

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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 worlds 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

Youre a data scientist who lives at the intersection of product experimentation and storytelling. You know that a great A/B test is only the beginning the harder more interesting work is figuring out why a treatment moved (or didnt move) the metric what it tells you about your customers and what the team should try next. Youre fluent in SQL Python and modern experimentation practice and you have a strong product instinct that lets you turn ambiguous business questions into well-framed analyses. You partner naturally with PMs designers engineers and marketers; youre as comfortable shaping a roadmap conversation as you are debugging a tracking pipeline. You care about scaling your impact through better tooling sharper metrics and analytics that other people can actually use without you in the room.

About this role

This is a highly visible role on Udemys Consumer Product Analytics team embedded with the product design and engineering teams who own the top of our consumer funnel from how learners discover Udemy through landing pages and search into the purchase path and checkout. The Staff Data Scientist Product Analytics will be the senior analytics partner for a portfolio of discovery and conversion squads including teams working on conversion rate optimization SEO marketing technology and our homepage and landing experiences.

You will help these teams run a high-velocity experimentation program define the metrics and dashboards they make decisions with and use causal and behavioral analysis to surface the next big opportunities in the funnel. Your insights will directly shape how millions of learners around the world experience Udemys consumer marketplace and subscription products.

Success in this role will require a combination of strong communication and collaboration skills sharp product sense deep experimentation rigor and a customer-centric are interested in building a diverse collaborative and fun environment. Come help us improve lives through learning!

What youll be doing

• Serve as the embedded product data science partner for a cross-functional area focused on discovery and conversion including PMs designers engineers and marketers across CRO SEO MarTech and homepage/landing surfaces.

• Drive a high-throughput experimentation program end-to-end: hypothesis development metric and guardrail design power analysis test design (including geo switchback and CUPED-style variance reduction where appropriate) readout and meta-analysis across portfolios of tests.

• Own the analytical strategy for your business area define the KPIs secondary metrics and segmentations that the team uses to evaluate the funnel and continuously raise the bar on how rigorously decisions get made.

• Build and maintain the dashboards and self-service analytics that PMs marketers and leadership rely on for acquisition conversion and consumer subscriptions performance; ensure they are trusted well-documented and resilient to upstream data changes.

• Use advanced analytics techniques (causal inference regression clustering forecasting segmentation) to characterize learner behavior across the funnel and uncover non-obvious opportunities; conduct ad hoc analyses and causal studies for the teams most pressing open questions.

• Translate findings into clear actionable narratives for senior product and business leaders written readouts presentations and recommendations that move roadmaps.

• Partner with Data Engineering and Analytics Engineering to improve event instrumentation data models and pipelines that your business area depends on.

• Set the standard for analytical rigor on the team: review experiment designs and analyses from peers mentor more junior data scientists and contribute to shared frameworks tooling and best practices.

• Shape the longer-term analytics roadmap and OKRs for your area in partnership with product and DS leadership.

What youll have

• Bachelors degree in a relevant technical field or equivalent practical experience. Advanced degree a plus.

• 6 years of hands-on Data Science experience (4 with a PhD) with significant time spent as an embedded product or growth data scientist in a consumer business. Experience supporting top-of-funnel growth CRO SEO or marketing surfaces is strongly preferred.

• Expert-level SQL and Python; experience with Databricks or a similar cloud data warehouse.

• Deep applied expertise in experimentation: experimental design power analysis A/B and multi-arm testing variance reduction sequential testing and at least working familiarity with quasi-experimental and causal inference methods for when randomization isnt possible.

• Strong product sense ability to translate ambiguous open-ended business questions into structured analyses and crisp recommendations and to push back constructively when the data tells a different story than the team expected.

• Exceptional data storytelling and visualization skills with a strong eye for narrative and usability. Experience with Tableau is a big plus.

• Experience building automated data pipelines with tools like Airflow and dbt and working with GitHub and CI/CD code review processes.

• Track record of operating at a Staff level: scoping work across a business area independently leading cross-functional alignment defining new metrics and frameworks and raising the analytical bar for the people around you.

• Strong ownership and ability to work autonomously while collaborating effectively with teams and colleagues across global time zones.

Posting Date: June 11th 2026

Application Window:We anticipate the application window will be open until June 24th 2026. Based on business needs this opportunity may remain posted beyond or closed before the anticipated application window.

Youll grow here.
Learning is part of the job. Youll 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. Youll have the space and tools to experiment apply and get better at using AI in practical ways.

Youll own your work.
We trust people to lead make decisions and follow through. You dont need to wait for permission or layers of approval to have an impact.

Youll build with others.
We collaborate openly and shape ideas together. Everyone has a voice and good thinking is welcomed from any direction.

Youll see your impact.
What you build helps people grow their skills change their careers or find a path forward. Youve got the experience why not use it to help others gain theirs

Bring your curiosity. Well bring the platform and the support. Lets LEARNtogether.

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 Australia Benefits India Benefits Ireland Benefits Mexico BenefitsTurkiye Benefits & US Benefitspages 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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