Coursera was founded by two computer science professors at Stanford with a vision of providing life-transforming learning experiences to anyone, anywhere. It is the world’s largest online learning platform for higher education. 190 of the world’s top universities and industry educators partner with Coursera to offer courses, Specializations, and degrees that empower over 40 million learners around the world to achieve their career goals. Over 1,800 companies use the company’s enterprise platform Coursera for Business to transform their talent. Coursera is backed by leading venture capital firms such as Kleiner Perkins Caufield & Byers, New Enterprise Associates, GSV Capital, International Finance Corporation, Laureate Education Inc., and Learn Capital.
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. We define, develop, and launch the models and algorithms that power content discovery, personalized learning, and machine-assisted teaching and grading. 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.
As Staff Data Scientist, Machine Learning you will define and build innovative data-powered products to personalize and scale high-quality experiences for 40 million global learners. The ideal candidate possesses a strong statistical and computational skill set, is collaborative and impact-driven, and shares our passion for education.
Leading projects in working cross-functionally with product leads
Ideate, prototype, and productionize the machine learning algorithms that power Coursera’s product
Coursera is an education-focused technology company that connects millions of learners around the world with the skills and knowledge they need to transform their lives and careers. We're providing access to top-quality university-level education at a previously unimagined scale, empowering learners, organizations, and enterprises to build the skills they need to succeed in the 21st century.