With a mission to improve lives through learning, Udemy is a global marketplace for learning and teaching online. More than 20 million students learn from an extensive library of over 65,000 courses taught by expert instructors. Whether learning for professional development or personal enrichment, students can master new skills through self-paced, on-demand courses, while instructors have a way to share their knowledge with the world. For companies, Udemy for Business offers subscription access to a collection of business-relevant courses as well as a simple platform to host and distribute their own content in one central place.
We’re a close-knit bunch that enjoys problem-solving and collaboration, and we share a serious commitment to delivering the best possible learning and teaching experiences. Udemy’s culture encourages innovation, creativity, passion, and teamwork. We also celebrate our milestones and support each other every day.
Founded in 2010, Udemy is privately owned and headquartered in San Francisco’s SOMA neighborhood with offices in Dublin, Ireland, Sao Paulo, Brazil, and Ankara, Turkey. Compensation includes full-time salary, equity compensation plan, and competitive benefits including healthcare, commuter benefits, parental leave, and a discretionary time off policy.
From building the world’s most comprehensive knowledge graph to enabling content discovery across Udemy’s catalog of over 65,000 courses, data scientists at Udemy develop the algorithms and models that drive Udemy’s two-sided marketplace by combining software engineering best practices with rigorous quantitative approaches.
As a senior data scientist in data products at Udemy, you’ll be partnering with product managers, designers, and engineers to build algorithmic and model-driven solutions to power data products that affect the user experience. Success in this role requires a combination of product intuition, data analysis skills, machine learning knowledge, and the coding chops to dive head first into development on production systems.
Collaborate with product managers, designers, and engineers to scope and build data products
Perform statistical analysis, key metrics, and feature engineering for data products
Develop production-grade data pipelines to power ML-based data products
Design and analyze experiments and monitor performance of data products
Proactively influence product prioritization through data-driven insights
Provide technical mentorship for other team members
Build Udemy’s technical brand through talks, blog posts, and publications
3 years of experience building complex data products
5 years of hands-on industry experience in a data science-oriented role
Ability to communicate effectively with non-technical stakeholders
Strong knowledge of statistics, machine learning, and natural language processing
Proficiency with SQL and 1 programming languages (e.g., Python or Scala)
Familiarity with standard software engineering practices and distributed computing
Experience using big data technologies (e.g., Hadoop, Spark)
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