Data Science Co-op (Summer 2024)

Key Skills

Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Django, Flask, MLflow, Object-Oriented programming (OO languages), Presentation skills, PyTest, Python Programming, React.js, Scikit-learn, Software Development, UI design, UX design

Job Description

The Data Science Co-op will help develop routines using Object Oriented Python classes and methods.

Key Learnings:

• The Data Science Co-op will understand software development lifecycle and work in a professional environment.
• Learn different components of a product such as the backend and the frontend. Get an opportunity to work on both aspects.
• Learn the development lifecycle of the backend and the frontend. The backend work is heavy on using machine learning algorithms. The frontend work is heavy on UI/UX of the product.
• Learn the integration of the components to create a sing le product

This role offers between $23 - $32 hourly.

Responsibilities & Qualifications

Key Learnings:

• The Data Science Co-op will understand software development lifecycle and work in a professional environment.
• Learn different components of a product such as the backend and the frontend. Get an opportunity to work on both aspects.
• Learn the development lifecycle of the backend and the frontend. The backend work is heavy on using machine learning algorithms. The frontend work is heavy on UI/UX of the product.
• Learn the integration of the components to create a sing le product

Qualifications

• A proficient understanding of Python based Object Oriented Programming, ReactJS, and Django
• Experience with software and model engineering concepts such as versioning, model deployment and model retraining etc.
• Hands on experience with such Python libraries as Scikit-Learn, Unittest and Pytest, Flask and MLFlow

Preferred Qualifications

• Either have completed Masters in Software Engineering/Data Science or currently enrolled in a program
• Understanding of git workflow and CI/CD.
• Experience in Collaborative and Iterative Development
• Desire for continuous development and learning opportunities
• Strong analytical, organizational, presentation, and time management skills

What We Offer

All full-time co-ops working 30 hours or more per week are eligible to participate in the

Novelis Medical Plans. As a co-op you will also be eligible for paid holidays as outlined in the Novelis

holiday schedule for the designated location.