Embark on a challenging journey as an R&D; Data Science Engineer, focusing on the application of advanced analytics and machine learning for process control. Leverage your skills to develop cutting-edge solutions that optimize manufacturing performance.

This role, reporting to the R&D; Manager, demands a solid foundation in machine learning, statistical analysis, and data visualization techniques. With 3-5 years of relevant experience, you will be instrumental in building and maintaining predictive models and improving data quality for better operational outcomes.

Key Responsibilities: • Develop and implement machine learning algorithms for optimization • Conduct statistical analyses to identify trends and improvements • Maintain data processing routines for quality assurance • Create tools and workflows for effective data deployment • Collaborate on dashboards summarizing KPI insights

Requirements: • Master’s or PhD in a relevant field • Solid Python programming fluency • Hands-on experience with data visualization tools • Knowledge of Fourier Transform concepts • Willingness to travel for project support

Bring your analytical talents to enhance manufacturing processes through data-driven innovations.

📌 R&D Data Science Engineer Opportunity (Winnipeg)
🏢 Tenova
📍 Winnipeg