Industrial Engineer – Distribution & Fulfillment

Kovoro; Columbus (OH); Hybrid; USD 70,000 - 95,000; Full time

Job summary

Kovoro in Columbus, OH is seeking an Industrial Engineer to develop and maintain engineered labor standards using time study and MOST, conduct line balancing and capacity modeling, and drive improvements across throughput and efficiency.

You will support layout redesigns, slotting optimization, and Kaizen events with operations and automation teams as Kovoro invests in automated storage and retrieval, robotics, and AI-based workforce management tools.

Qualifications

• BS in Industrial Engineering or related discipline required.
• 3+ years of industrial engineering experience in a fulfillment, distribution, or high-volume manufacturing environment.
• Proficiency in engineered labor standards development (MOST, MTM, or time study).
• Strong data analysis skills; experience with SQL, Python, or Power BI a significant advantage.
• Lean Six Sigma Green Belt or higher preferred.

Responsibilities

• Develop and maintain engineered labor standards using time study and MOST methodologies.
• Conduct line balancing and capacity modeling.
• Analyze throughput data to identify bottlenecks.
• Support layout redesigns and slotting optimization projects.
• Lead kaizen events targeting labor efficiency and ergonomic improvement.

Skills

Line balancing

Capacity modeling

Data analysis

MOST/MTM/time study

Education

BS in Industrial Engineering or related discipline

Tools

SQL

Python

Power BI

Job description

Our client is one of the largest third-party logistics and e-commerce fulfillment operators in the country, with a flagship campus in Columbus comprising four buildings and over 2.5M square feet of fulfillment and returns processing space. The IE team drives continuous improvement across inbound, storage, picking, packing, and outbound operations.

As Industrial Engineer you will develop and maintain engineered labor standards using time study and MOST methodologies, conduct line balancing and capacity modeling, analyze throughput data to identify bottlenecks, support layout redesigns and slotting optimization projects, and lead kaizen events targeting labor efficiency and ergonomic improvement.

This is a high-visibility role working alongside operations, automation, and technology teams. The company is investing heavily in automated storage and retrieval, goods-to-person robotics, and AI-based workforce management tools, and IEs play a central role in evaluating and implementing these solutions.

Requirements

• BS in Industrial Engineering or related discipline required
• 3+ years of industrial engineering experience in a fulfillment, distribution, or high-volume manufacturing environment
• Proficiency in engineered labor standards development (MOST, MTM, or time study)
• Strong data analysis skills; experience with SQL, Python, or Power BI a significant advantage
• Lean Six Sigma Green Belt or higher preferred