Summer 2023 Co-op: Analytics and Insights (Data-Science)

Our Digital & Technology team wakes up every day with one goal in mind – to connect Canadians to the people and things that matter most. Collectively, we’re proud to support 30 million Canadians each month.

We manage a robust portfolio that champions the leading edge of technology and media. We drive projects that expand connectivity to underserved communities from coast-to-coast-to-coast; build and enhance our fixed broadband network to provide high-speed Internet, TV and Smart Home Monitoring; and support our world class wireless network, offering our customers Canada’s largest and most reliable 5G network. As the Digital & Technology team, we are building our tomorrow, today.

Come play a key role in building the future of innovation in Canada, Let’s make your possible.

Do you enjoy working on high-scale, complex, and high visibility projects and programs?  If yes, consider the following opportunity:

Imagine working for an exciting company where employees are committed to meeting big challenges and making a real difference. That's Rogers. A leading communications and media company where people come to do great work. Right now, we are looking for talented individuals to join our winning team where you will have a chance to innovate, grow and to do what really matters.

As part of the rapidly growing and highly capable analytics and insights team, you will be tasked with absorbing a myriad of datasets from dozens of sources, organizing them, visualizing them, and analyzing them to help inform both short- and long-term decision-making, tackle problems, and derive insights. 

Responsibilities Include:

• Maintain, enhance, and create dashboards in PowerBI, develop and automate reports, iteratively build, and prototype dashboards to provide insights at scale, solving for analytical needs.
• Respond to ad hoc requests for analysis, data and information on a regular basis.
• Responsible for sourcing, summarizing, and analyzing data from multiple data sources.
• Assist with onboarding new datasets.
• Help with development, validation, and deployment of AI/ML models.
• Work on geolocation-based visualizations, part of our GIS initiatives.

Technical skills:

• Development experience with Python, using various data science libraries such as Scikit-learn, Pandas, NumPy, GeoPandas as well as frameworks like TensorFlow, Pytorch, Keras.

• Strong understanding of machine learning and AI, including classification, clustering, time series analysis, NLP and demand forecasting.

• Experience with agile methodology, code review process and version control.

• Understanding of SQL and Apache Spark.

• Familiar with cloud technology (Azure, Databricks).

• Strong aptitude for research and data analysis.

Competencies:

• Ability to operate autonomously, within general direction guidelines.
• Personal Competencies:  Problem Solving / Judgment; Customer Service Orientation; Teamwork and Collaboration; Initiative; Achievement Orientation.
• Highly motivated individual with superior organizational and analytical skills.

Schedule: [[req_RogersFullPartTime]]