Staff Data Scientist

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. 170 of the world’s top universities and industry educators partner with Coursera to offer courses, Specializations, and degrees that empower over 35 million learners around the world to achieve their career goals. Over 1,400 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 building the future of education through data-driven decisions 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 is personalized, accessible, and efficient -- reaching a world of learners who need it --, and that with our scale, data, technology, and talent we are best positioned to make that vision a reality.

We are looking for a Staff Data Scientist to define and build innovative data products that personalize and scale high-quality learning experiences for our tens of millions of learners. The ideal candidate shares our passion for education, possesses a strong statistical and computational skill set, and is collaborative and impact-driven.

Check out life at Coursera on The Muse!

Your responsibilities:

  • Refining key learning features like diagnostics, personalized behavioral and pedagogical interventions, and automated review materials
  • Ideating and building key new features to scale the learning experience, including machine-assisted grading and feedback
  • Working cross-functionally with engineers, product managers, and other data scientists on our core discovery and learning products

Your skills:

  • Bachelor's in Data Science and Analytics, Applied Computer Sciences or equivalent experience
  • Solid background in applied math, computer science, statistics, or related technical field
  • Deep applied statistics and modeling skills
  • Strong computational skills
  • Proficient with at least one scripting language (e.g., Python) and at least one statistical software package (e.g., R)
  • Excellent communication and project management skills
  • Domain expertise in NLP preferred
  • Familiarity with domain-specific technologies and challenges in learning preferred
  • 6+ years of industry experience preferred

If this opportunity interests you, you might like these courses on Coursera:


Meet Some of Coursera's Employees

Emily G.

Head of Data Science

Emily leads a team at Coursera that builds statistical models and machine learning algorithms to connect learners to life-changing learning experiences. Her team also conducts experimentation and quantitative analysis that informs Coursera’s product and business direction.

Richa K.

Engineering Manager, Growth Team

Richa coaches a team of engineers who build products that grow the community of learners who use Coursera. Richa is a multi-stack engineer who has worked on the back-end, mobile, and front-end of Coursera’s products.


Back to top