Data Scientist II
About Coursera Coursera and Udemy are now one company, creating one of the world's most comprehensive skills development platforms for the AI era. This strengthens our ability to accelerate AI-powered innovation and shape how the world discovers and builds skills at a pivotal moment of change. Read more about the combined company by visiting our blog. Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Coursera partners with leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations — including AI-powered personalized guide and features, like Role Play and Course Builder, and role-based solutions like Skills Tracks — enable instructors, partners, and companies to deliver scalable, personalized, and verified learning. Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as GenAI, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp. Coursera recently combined with Udemy to create one of the world’s most comprehensive skills development platforms.
Why Join Us
At Coursera, we’re looking for inventors, innovators, and lifelong learners ready to shape the future of education. You’ll help build global programs and tools that power online learning for millions turning bold ideas into real impact. People who thrive here are customer-first builders who move fast, simplify ruthlessly, and iterate relentlessly on the metrics that matter. We’re a globally distributed team that comes together intentionally for collaboration, complex problem-solving, and key milestones — creating opportunities for teams to do their best work together. Our virtual hiring and onboarding experience makes it easy to join us and start making an impact from anywhere. If you’re ready to make a global impact, help scale unique products across Coursera + Udemy, and grow your career, apply below. Job Overview: At Coursera, our Data Science team is helping to build the future of education through data-driven decision making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference to help Coursera deliver effective content discovery and personalized learning at scale. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality. We’re looking for an experienced Data Scientist to support decision-making for our content-making partners and innovate how AI tools can help us do this more efficiently. This role will be leveraging the rich data captured over a hundred million learners and thousands of instructors engaging on the platform to deliver innovative, data-driven insights on how to create experiences that will better meet the needs and expectations of learners. This role will partner closely with Account managers who own the relationship with our content partners and are responsible for helping them grow. Our ideal candidate possesses strong analytical and dashboarding skills, familiarity with A/B testing, good product sense, and the ability to translate analysis into actionable recommendations that drive product and business outcomes. Responsibilities: Create dashboards for tracking business metrics. Analyze the results of A/B tests on our product experience. Develop an understanding of Coursera’s products, business, and learners to tie analysis to actionable recommendations. Create leverage by enabling stakeholders to better self-serve data on their product area. Present findings and recommendations to leadership in a clear and concise manner. Basic Qualifications:. Background in economics, statistics, data science, computer science, or a related technical field 2+ years of experience as a data scientist, data analyst, or business intelligence analyst Proficiency in BI tools (e.g. Sigma, Databricks, Looker, Tableau) Strong SQL skills and proficiency with at least one scripting language (e.g. Python, R) Excellent communication skills, with the ability to translate complex data findings into actionable insights Preferred Qualifications: Experience leveraging AI tools to accelerate data analysis, generate insights, or enhance analytical workflows 5+ years of experience using data to advise product, marketing, or business teams Advanced proficiency with SQL and Python to produce clear and actionable insights Familiarity with online education platforms, specifically with platforms like Coursera and Udemy If this opportunity interests you, you might like these courses on Coursera: Go Beyond the Numbers: Translate Data into Insights Design of Experiments Google Advanced Data Analytics Compensation: Our job titles may span more than one career level. The starting base pay for this role is between $120,000 CAD to $142,000 CAD. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and location. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, and benefits. #PL-1 For more information about how Coursera collects and uses your personal information, please see our Global Applicant Privacy Notice. To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page. If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form. Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at [email protected]. Apply To This Job