This role works closely with cross-functional teams to transform data into actionable insights, integrate machine learning models into production systems, and support continuous process improvement across the organization
Job Summary
This role works closely with cross-functional teams to transform data into actionable insights, integrate machine learning models into production systems, and support continuous process improvement across the organization.
Design and deploy machine learning algorithms to solve complex problems and collaborate with data engineers and process engineers to ensure the availability of high-quality data for model training and evaluation.
Our total compensation package includes amazing benefits! Competitive wages and bonus opportunities, family medical, dental, and prescription coverage at minimal employee cost, competitive retirement plans, and paid vacation.
Matching Summary
This role works closely with cross-functional teams to transform data into actionable insights, integrate machine learning models into production systems, and support continuous process improvement across the organization.
Skills & Requirements
Must-have
Machine learning algorithms
Data analysis and interpretation
Python, R, and .NET proficiency
Data cleansing and SQL
Cross-functional collaboration
Nice-to-have
EAF-based steelmaking experience
Hot strip rolling experience
Tubular production processes experience
Key Requirements
Bachelor’s degree in Computer Engineering, Software Engineering, or related field
3-5 years of experience in applying machine learning or data science in the steel industry
Eligible for registration as a Professional Engineer in Saskatchewan
Work Rights
Professional Engineer registration in Saskatchewan