Data Science Intern, Decision Science (Fall 2021) - Canada

Canada (Remote)

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Posted 1 month ago

Coursera is a leading online learning platform for higher education, where 82 million learners from around the world come to learn skills of the future. More than 220 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-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.
We are looking for a creative and collaborative Data Science intern to accelerate decision science at Coursera. During this full-time 16-week internship program, you 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 build internal tools that inform our decision about how best to serve our 68+ million learners worldwide!
This internship will run from August 30 - December 17. It will be fully remote, but you will need to work remotely from one of the following Canadian provinces: Ontario, British Columbia, Alberta, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Prince Edward Island, or Saskatchewan. We will begin reviewing applications on May 24.

Responsibilities:

  • Design, build, and share internal reporting for Data Scientists and Product Managers to better understand how learners are interacting with our product
  • Collaborate with Product Managers, Designers, and other Data Scientists to identify opportunities to improve learner experiences on Coursera
  • Design and analyze experiments that will evaluate new features and  inform product direction
  • Distill insights from complex data, communicating findings to technical and non-technical audiences

Basic Qualifications:

  • Pursuing a degree  in Computer Science, Statistics, Applied Mathematics, or related field (recent graduates also welcome to apply)
  • Experience with relational databases and SQL for data retrieval

Preferred Qualifications:

  • Experience with at least one scripting language (e.g. Python)
  • Experience with at least one statistical software package (e.g. R, NumPy/SciPy/Pandas)
  • Experience with explaining technical concepts to non-technical audiences
  • Experience with designing clear and informative data visualizations
  • Project management and cross-functional collaboration skills

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

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.
Job tags: Marketing NumPy Pandas Python R SciPy SQL
Job region(s): North America Remote/Anywhere
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