Coursera is a leading online learning platform for higher education, where 76 million learners from around the world come to learn skills of the future. More than 200 of the world’s top universities and industry educators partner with Coursera to offer courses, Specializations, certificates, and degree programs. Thousands of companies trust the company’s enterprise platform Coursera for Business to transform their talent. Coursera for Government equips government employees and citizens with in-demand skills to build a competitive workforce. Coursera for Campus empowers any university to offer high-quality, job-relevant online education to students, alumni, faculty, and staff. Coursera is backed by leading investors that include Kleiner Perkins, New Enterprise Associates, Learn Capital, and SEEK Group.
At Coursera, our Data Science team is helping to build the future of education through data-powered products and data-driven decisions. In Machine Learning, we define, develop, and launch the models and algorithms that power content discovery, personalized learning, and machine-assisted teaching and grading. In Decision Science, we drive product and business strategy through measurement, experimentation, and causal inference. 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 are looking for a creative, collaborative, and computationally strong Senior Data Scientist, Machine Learning to help deliver high-quality and high-impact data products to production through leading the ML frameworks design and enhancement. In addition to the ML architecture, this role will also help build out Coursera’s Skills Graph and its product applications. Our Skills Graph is a foundational data asset powered by NLP and crowdsourcing that maps a robust library of skills to the content that teaches them, the careers that require them, and the learners who have or want to learn them. Product applications of Skills Graph range from skills-based search and recommendations to real-time learner skill tracking. Our ideal candidate has end-to-end data product experience, including identification of user-facing machine learning opportunities, collaboration with cross-functional product teams, and in-production deployment to bring products to life. It is also crucial that a candidate is impact-driven and shares our passion for education.
Check out life at Coursera on The Muse!
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