Data Science Intern, Machine Learning

United States (Remote)

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Posted 1 month ago

Coursera is a leading online learning platform for higher education, where 76 million learners from around the world come to learn skills of the future. More than 200 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 machine learning at Coursera. During this full-time 12-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, updates, and launches that will affect 77+ million learners worldwide!

Responsibilities

  • Build, deploy, and test machine learning models that improve the learning experience on Coursera
  • Collaborate with Engineers, Product Managers, and other Data Scientists to identify opportunities
  • Develop metrics that evaluate performance of data products
  • 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)

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)
  • Background in machine learning frameworks like TensorFlow, PyTorch, Scikit Learn, etc.
  • Experience with relational databases and SQL
  • 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: Deep Learning Machine Learning NumPy Pandas Python PyTorch R SciPy SQL TensorFlow
Job region(s): North America Remote/Anywhere
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