Lean Engineering Co-op: Digital Factory & Analytics

Paycom; Dayton (MN); On-site; USD 11,000 - 22,000; Part time

Benefits offered by this job

Medical, vision, and dental plans

Short-term and long-term disability

401k matching

HSA, FSA options

PTO and holidays

Education assistance

Job summary

MAS HVAC creates custom-engineered thermal management solutions for markets that thrive on flexibility and bold ideas. The Engineer Co-op will drive our factory digital transformation, building visual dashboards and automation to make production more transparent and efficient.

You will develop KPI boards (OEE, downtime, scrap), integrate shop-floor data, and collaborate with Kaizen teams across functions while learning Lean principles and modern data tools in a hands-on university-co-op

Qualifications

• Currently pursuing a BS or MS in Industrial Engineering, Systems Engineering, CS, Data Science, or related field.
• Strong programming skills in Python, JavaScript, or SQL.
• Familiarity with Power BI and Lean principles.

Responsibilities

• Develop digital visual displays, KPI boards, and on-screen metrics to support Lean initiatives.
• Create dashboards (Power BI or custom) for OEE, downtime, scrap, and other KPIs.
• Automate SOPs, checklists, and Tier boards.
• Assist Kaizen teams with digitally enhanced process maps, VSM visuals, and bottleneck visualizations.
• Integrate machine data into actionable digital insights.
• Collaborate cross-functionally to gather requirements and deploy digital solutions.
• Participate in Gemba walks to collect data for visuals.
• Support CI projects and Kaizen events as needed.

Skills

Python

JavaScript

SQL

Power BI

Lean principles

Manufacturing data

Education

BS/MS in Industrial Engineering, Systems Engineering, CS, Data Science, or related field

Job description

MAS HVAC creates custom-engineered thermal management solutions for markets that thrive on flexibility and bold ideas. The Engineer Co-op will drive our factory digital transformation, building visual dashboards and automation to make production more transparent and efficient.

You will develop KPI boards (OEE, downtime, scrap), integrate shop-floor data, and collaborate with Kaizen teams across functions while learning Lean principles and modern data tools in a hands-on university-co-op