The role involves applying machine learning and emerging AI methods to improve business operations and automate routine tasks
Job Summary
The role involves applying machine learning and emerging AI methods to improve business operations and automate routine tasks.
Candidates will lead projects across forecasting, supply chain analysis, and simulation modeling while collaborating with global engineering and operations teams.
Copeland offers flexible benefits including medical insurance, 401(k), paid parental leave, and a hybrid work model at specific US locations.
Matching Summary
The role involves applying machine learning and emerging AI methods to improve business operations and automate routine tasks.
Skills & Requirements
Must-have
7+ years data science experience
Python programming and Git collaboration
Machine learning and econometrics expertise
Supply chain and forecasting modeling
Translating complex stats for stakeholders
Nice-to-have
Generative AI and Agentic AI experience
Background in manufacturing or marketing
Azure DevOps and Agile sprint experience
Knowledge of HVACR industry specifics
Experience with LLM-based applications
Key Requirements
Bachelor's degree in relevant technical field
7 or more years of relevant experience
Must be legally authorized to work in the US without sponsorship