Job description

At Kruger Products we have a shared vision for greatness. We manufacture some of North America’s most popular tissue brands - Cashmere®, Purex®, Scotties®’, SpongeTowels®, White Cloud®, as well as products for use away from home. We always want to do better for our customers and our world. The awards we’ve earned remind us that our hard work and commitment to doing the right thing pays off. But they aren’t what keep us going. It’s the people who work here, who believe in what we do – and how we do it that truly matters.

We are leaders in our communities, leaders in sustainability, and leaders in connecting with our consumers. Our headquarters is in Mississauga, ON, and we proudly have nearly 2,700 employees spread across eight manufacturing plants in Quebec, British Columbia, Ontario, and Tennessee.

WHAT YOU WILL DO

As a Data Scientist, you’ll play an active role in the Digital Twin Project at our new Sherbrooke, Quebec plant that involves developing a virtual model of the Plant’s entire supply chain and using real-time data augmented with predictive and prescriptive AI capabilities to improve the Plant’s overall performance.

In this role, you will:

  • Leverage strong expertise in machine-learning and optimization to design, prototype, build, test, and scale up leading-edge AI solutions
  • Process, analyze, and share insights from large and complex data sets, and build platforms for others to analyze data sets
  • Interact with business divisions to understand value creation opportunities and translates them into use case opportunities
  • Work with Senior Business and Technology leaders by providing technical guidance related to value pools priorities, AI use case opportunities, product portfolio, data architecture, etc.
  • Carry out quality assurance and monitor integrity of analytics tools & data modeling, by developing best practices for analytics (models, standards, tools)
  • Support adoption and track impact of analytics on business

WHAT YOU WILL BRING

  • MSc or PhD in Machine Learning, Optimization, Statistics, Operations Research, or related field
  • Relevant data science work experience of 8 – 10 years, including in professional environment
  • In-depth technical knowledge of machine learning algorithms and/or optimization methods with proven experience, and strong knowledge of mathematical underpinnings
  • Experience applying advanced statistical methods to solve real business problems using complex data sets, with accountability for leading/influencing projects
  • Fluency in Python. Other languages are plusses, e.g., R, C/C++, Java, Scala, Julia
  • Experience with using big data visualization/UI/management tools
  • Experience developing data pipeline leveraging market solutions, e.g., Cloudera, Talend, MongoDB
  • Experience in simulation tools, e.g., AnyLogic, or supply chain solutions, e.g., Llamasoft, is a plus
  • Ability to write, improve, and manage efficient code and to collaborate with other key stakeholders
  • Ability to think critically and conceptually
  • Strong project management skills
  • Capacity to develop well-structured communications and presentations
  • Bilingual in English & French is considered an asset

WHAT’S IN IT FOR YOU

Our mission is to make everyday life more comfortable for our consumers. Together we bring this mission to life. As an ever-evolving business, there are always exciting new challenges, diverse career options, and opportunities to innovate. Want to learn more? Come unleash your greatness with Kruger Products.

We have been named one of GTA’s Top Employers for the past 9 consecutive years, as well as Forbes' Best Employers in Canada.

Kruger Products is an equal opportunity employer and encourages applications from all qualified individuals. Accommodation will be provided in all parts of the hiring process as required under KPLP’s Accessibility Policy and Multi-Year Accessibility Plan - 1.04.33. Applicants need to make their needs known in advance.

We thank all applicants for their interest in Kruger Products but only candidates selected for an interview will be contacted.

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