Coursera is scaling a global platform to provide universal access to the world’s best education, and we’re motivated by the passion and mission to transform lives through learning. Our platform has reached over 30 million learners worldwide and we have partnered with 150+ elite universities around the globe with over 2,000 courses in our catalog. We offer Courses, Specializations, Certificates, and Degrees to meet the needs and goals of the diverse learners who come to Coursera.
In 2016, we began offering fully accredited online Masters degrees which provide a more convenient, lower-cost, “stackable” means of earning credentials identical to their traditional on-campus counterparts. We also launched Coursera for Business, partnering with enterprise companies around the world to provide access to curated skill development for their employees.
The Data Science team owns the quantitative measurement, experimentation, and inference that informs Coursera's product and business direction; builds the statistical models and machine learning algorithms that power content discovery and an engaging, scalable learning experience; and empowers partners and enterprise customers with on-platform analytics and direct data access.
We are looking for a talented and creative data scientist with a sharp eye for UX design, strong algorithmic and analytic skills, and an interest in expanding the reach and quality of online education by building the models and algorithms that power our discovery and learning products. Our ideal candidate shares our passion for education, possesses a strong statistical and computational skill set, and is collaborative and impact-driven. In this role, you’ll be directly involved in ideation, model development, and evaluation of discovery and learning data products