Data Science Fellow, Decision Science

Coursera was launched in 2012 by two Stanford Computer Science professors, Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 87 million registered learners as of June 30, 2021. Coursera partners with over 200 leading university and industry partners to offer a broad catalog of content and credentials, including Guided Projects, courses, Specializations, certificates, and bachelor’s and master’s degrees. Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in many high-demand fields, including data science, technology, and business. Coursera became a B Corp in February 2021.
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. 200 of the world’s top universities and industry educators partner with Coursera to offer courses, Specializations, and degrees that empower over 48 million learners around the world to achieve their career goals. Over 2,200 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.
This is a 10-week full-time contract position where you will develop a world-class research report on learner experiences at Coursera.  We are looking for a collaborative Data Science contractor that will be embedded as a full-time member of our Data Science team and paired with a mentor. You will work on real features and generate insights that inform our decision about how best to serve our 50+ million learners worldwide.

Responsibilities:

• Perform literature review and analyze Coursera platform data on millions of learners to generate insights for internal and external reporting.
• Develop insights for Data Scientists, PR and Marketing Managers to better understand how learners are interacting with our product
• Provide input on survey design and analyze survey data.
• Distill insights from complex data, communicating findings to technical and non-technical audiences

Basic Qualifications:

• Masters degree in Statistics, Applied Mathematics, or related field 
• Experience with relational databases and SQL for data retrieval
• Experience with at least one scripting language (e.g. R or Python)

Preferred Qualifications:

• Experience with explaining technical concepts to non-technical audiences
• Experience with designing clear and informative data visualizations
• Experience with story-telling  through data
• Project management and cross-functional collaboration skills

Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org.
Please review our CCPA Applicant Notice here.