Kruger Products ’ Digital Team builds AI and analytics solutions used across the business. Our work spans manufacturing - predictive maintenance, process optimization, plant data troubleshooting, and asset management - as well as commercial areas like marketing, sales, and demand forecasting. Our portfolio includes the AssetKare platform, supporting operations across Canadian and US sites, alongside a growing suite of generative AI assistants and analytics tools for corporate teams.What you will doDesign, validate, and deploy machine-learning, optimization, and statistical models that solve concrete business problems (anomaly detection on production lines, demand forecasting, or LLM-powered internal assistants)Build LLM-based agents, retrieval-augmented generation (RAG) systems, and fine-tuning or prompt-engineering workflows where they meaningfully outperform classical approachesOwn the model lifecycle - experimentation, deployment, ongoing performance monitoring, drift detection, and retrainingCollaborate with the team's data engineers and architects on the pipelines and platformsEstablish governance - implement validation, monitoring, and documentation practices to make models maintainableExplain technical decisions and their business implications to both technical and non-technical audiences, including senior leadership.What you will bringMSc or PhD in Machine Learning, Statistics, Operations Research, Computer Science, or related field, with 3-5 years of relevant experienceStrong expertise in machine learning, optimization, and statistical methods,



with the ability to apply them to real business problemsExperience leading or influencing complex, cross-functional analytics initiatives and translating business needs into solutionsHands‑on experience with LLMs, prompt engineering, AI agents, and/or Retrieval‑Augmented Generation (RAG) systemsStrong programming skills in Python (production-level); JavaScript is an assetExperience with cloud platforms (preferably Azure), big data tools, visualization/BI platforms, and modern data/AI toolingStrong critical thinking, problem-solving, and business acumen, ideally within CPG, retail, or similar industriesExcellent communication and stakeholder management skills across technical and non‑technical audiencesStrong organizational and project management skills, with attention to quality and data integrity in rapid‑paced environmentsBilingual (English & French), industry experience, and research/open‑source contributions are considered assetsThe starting range for this role is $95,000 to $125,000 – or higher, depending on your experience. Our pay philosophy is to attract the best talent at the best pay while offering real opportunities for career advancement. Performance and ideas that make us better are recognized.Kruger Productsis 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 KP’s Accessibility Policy and Multi‑Year Accessibility Plan - 1.04.33. Applicants need to make their needs known in advance.#J-18808-Ljbffr

📌 Data Scientist - C$95,000 - C$125,000 A Year (Winnipeg)
🏢 Kruger Products
📍 Winnipeg