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Data Scientist II

<div class="content-intro">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 <a href="https://blog.coursera.org/coursera-and-udemy-are-now-one-company-creating-the-worlds-most-comprehensive-skills-platform/" target="_blank">blog</a>. 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.</div>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 a knowledgeable Data Scientist - Product Analytics to support decision-making for our product teams. This role will be leveraging the rich data captured by over 200M+ 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 Product Managers (PMs) who own parts of Coursera’s educator or learner experience. 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 innovative product development. Responsibilities: <ul> <li>Develop an understanding of Coursera’s products, business, and learners to tie insights and analysis to actionable recommendations.</li> <li>Analyze the results of A/B tests and conduct deep dives on our learner and product experiences.</li> <li>Create dashboards and set up systems and tools for tracking product metrics.</li> <li>Create leverage by enabling Product Managers to better self-serve data on their product area.</li> <li>Present findings and recommendations to product teams and cross-functional partners in a clear and concise manner.</li> </ul> Basic Qualifications:. <ul> <li>Background in economics, statistics, data science, computer science, or a related technical field</li> <li>3+ years of experience as a data scientist, data analyst, or business intelligence analyst</li> <li>Strong SQL skills and proficiency with at least one scripting language (e.g. Python, R)</li> <li>Proficiency in BI tools (e.g. Sigma, Databricks, Looker, Tableau) </li> <li>Excellent communication skills, with the ability to translate complex data findings into actionable insights</li> <li>Strong attention to detail and the ability to manage multiple projects simultaneously</li> </ul> Preferred Qualifications: <ul> <li>5+ years of experience using data to advise product, marketing, or business teams</li> <li>Advanced proficiency with SQL and Python to produce clear and actionable insights</li> <li>Experience leveraging AI tools to accelerate data analysis, generate insights, or enhance analytical workflows</li> <li>Familiarity with online education platforms, specifically with platforms like Coursera and Udemy</li> </ul> If this opportunity interests you, you might like these courses on Coursera: <a href="https://www.coursera.org/learn/go-beyond-the-numbers-translate-data-into-insight?specialization=google-advanced-data-analytics">Go Beyond the Numbers: Translate Data into Insights </a><a href="https://www.coursera.org/specializations/design-experiments">Design of Experiments </a><a href="https://www.coursera.org/professional-certificates/google-advanced-data-analytics">Google Advanced Data Analytics</a> Compensation: Our job titles may span more than one career level. The starting base pay for this role is between $113,600 CAD and $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 is also eligible for bonus, equity, and benefits. #PL-1<div class="content-conclusion">For more information about how Coursera collects and uses your personal information, please see our <a href="https://files.clinchtalent.com/1d7f2c0f91ebf75d580f56447fa54859/2acb24eb91f1e23b90ac9e9285de5aaf/Global%20Applicant%20Privacy%20Notice.docx%20(1).pdf" target="_blank">Global Applicant Privacy Notice</a>. 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 <a href="https://forms.gle/Mb8UktwuaJAukb3H7">Fraudulent Activity Submission Form.</a> 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 recruiting@coursera.org. </div>

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