Industrial Engineer - Data Analysis & Simulation

Placements24; Kimberley; Hybrid; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Health/Dental/Vision insurance

Generous paid time off

Professional development

Remote-first culture

Job summary

Placements24 is seeking an Industrial Engineer with a strong focus on data analysis and simulation to join a remote team. You will collect, analyze, and interpret large datasets to identify trends, develop robust simulation models, and test process improvements.

The role requires 4+ years in industrial engineering, expertise in statistical software (R, Python with Pandas/Numpy/SciPy) and simulation tools (Arena, AnyLogic), and the ability to communicate complex concepts clearly in a remote

Qualifications

• Bachelor's degree in Industrial Engineering, Statistics, or a related quantitative field.
• Minimum of 4 years of experience in industrial engineering focusing on data analysis and simulation.
• Proficiency in statistical software (R, Python with Pandas/NumPy/SciPy) and simulation tools (Arena, AnyLogic).
• Strong knowledge of statistical modeling, experimental design, and optimization techniques.
• Excellent analytical, problem-solving, and data visualization skills.

Responsibilities

• Collect, clean, and analyze large datasets related to operational performance, efficiency, and resource utilization.
• Develop, validate, and implement simulation models to test process changes and predict their impact.
• Utilize statistical software and techniques to identify trends, root causes, and optimization opportunities.
• Design and conduct experiments (e.g., DoE) to evaluate process variables and their effects.
• Create comprehensive reports and visualizations to communicate analytical findings and recommendations to stakeholders.
• Collaborate with operational teams to gather data requirements and validate model outputs.

Skills

Data analysis

Simulation

Statistical modeling

Experimental design

Data visualization

Remote communication

Education

Bachelor's degree in Industrial Engineering, Statistics, or related field

Tools

R

Python (Pandas/Numpy/SciPy)

Arena

AnyLogic

DoE methods

Job description

About the Role

Our client is seeking a talented Industrial Engineer with a strong focus on data analysis and simulation to join their innovative, remote team. This role is pivotal in leveraging data to understand, model, and optimize complex operational systems and processes. You will be responsible for collecting, analyzing, and interpreting large datasets to identify trends, predict outcomes, and develop robust simulation models for testing potential improvements. This is an exciting opportunity for a technically adept engineer who thrives on solving problems using quantitative methods.

Key Responsibilities

• Collect, clean, and analyze large datasets related to operational performance, efficiency, and resource utilization.
• Develop, validate, and implement simulation models to test process changes and predict their impact.
• Utilize statistical software and techniques to identify trends, root causes, and optimization opportunities.
• Design and conduct experiments (e.g., DoE) to evaluate process variables and their effects.
• Create comprehensive reports and visualizations to communicate analytical findings and recommendations to stakeholders.
• Collaborate with operational teams to gather data requirements and validate model outputs.

Requirements

• Bachelor's degree in Industrial Engineering, Statistics, or a related quantitative field.
• Minimum of 4 years of experience in industrial engineering with a focus on data analysis and simulation.
• Proficiency in statistical software (e.g., R, Python with libraries like Pandas, NumPy, SciPy) and simulation tools (e.g., Arena, AnyLogic).
• Strong understanding of statistical modeling , experimental design, and optimization techniques.
• Excellent analytical, problem-solving, and data visualization skills.
• Ability to work independently and communicate technical concepts clearly in a remote setting.

Benefits

• Competitive salary package, reflecting advanced analytical skills.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible work schedule.
• Professional development opportunities, including training in advanced analytics and simulation software.
• A forward-thinking, digitally-enabled, and remote-first work culture.