Data Science Co-op – DX Shopper Insights

Key Skills

Python Programming, SQL, Machine learning techniques, Deep Learning, R Programming, Statistical modeling

Job Description

POSITION: Data Science Co-op – DX Shopper Insights
LOCATION: Mississauga, ON (Hybrid)

PepsiCo Canada is recognized as one of Canada’s top 100 employers. PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. Our product portfolio includes 22 world-famous, billion-dollar brands, from Gatorade to Quaker, Tropicana to Lay’s and more. We make hundreds of enjoyable foods and beverages that are loved throughout the world.

We are always centered on the consumer, developing exciting brand campaigns, and continuously driving product innovations. We strive to use our global scale for good and to create our products in a way that benefits our consumers, suppliers, communities, and planet – part of our mission is to Create more Smiles with Every Sip and Every Bite.

Position Summary

Are you excited about analytics and passionate about problem solving? Then come join our Demand Accelerator (DX) Shopper Insights team as a Data Science Intern at PepsiCo Foods Canada! You will work closely on Shopper Insights projects and work alongside other Data Scientists to solve business problems. We are focused on accelerating targeted shopper solutions to find pockets of growth and strengthening partnerships with our customers, using the power of Data Science & Analytics. Taking a Data Science approach allows us to build best-in-class Shopper-centric capabilities, develop deep functional expertise, and offer focused products in an agile responsive manner.

Help us solve new and exciting business problems with data analysis, advanced analytics, and a love of problem solving. Success in this role will require exceptional data analysis skills, an analytical mindset, intellectual curiosity, and strong appreciation for delivering business results. Strong communication and collaboration skills are required.

Responsibilities

• Translate Business needs into technical requirements
• Collaborating with Shopper Insights Manager and other business stakeholders to deliver a variety of projects
• Deliver advanced analytics and data science projects from end-to-end
• Effectively communicating insights to project stakeholders
• Complete proof of concepts
• Support the adoption of solutions into the business process

Qualifications/Requirements

Job Requirements

• Working towards bachelor’s degree in Data/Computer Science, Mathematics/Statistics, an engineering discipline, or equivalent.
• Familiarity with statistical modeling, machine learning and/or deep learning modeling
• Knowledge of statistical analysis tools like R or Python
• Knowledge of Databases and SQL programming skills
• Ability to translate business and technical requirements into non-technical terms
• Strong communication and collaboration skills
• Analytical and conceptual thinking skills
• Demonstrated ability to thrive in fast paced environment
• Ability to work independently with minimal supervision

Relocation Eligible: Not Applicable