Data Science Intern, Machine Learning (Fall 2021) - Canada

Data Science Intern, Machine Learning (Fall 2021) - Canada

This job has closed but is shown for context on data science work at Coursera.
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 82 million registered learners as of March 31, 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. More than 6,000 institutions have used Coursera to upskill and reskill their employees, citizens, and students, including in high-demand fields such as data science, technology, and business. Coursera became a B Corp in February 2021.

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 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, updates, and launches that will affect 82+ 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

    • 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

    • Recommender Systems
    • Machine Learning
    • Sentiment Analysis with Deep Learning Using BERT
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.
This job has closed but is shown for context on data science work at Coursera.
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.