Remote Industrial Engineer - Operations Analytics

Placements24; South Africa; Remote; ZAR 150,000 - 210,000; Full time

Job summary

Placements24 is seeking a highly analytical Remote Industrial Engineer specializing in Operations Research and advanced analytics. This role focuses on developing models and simulations to optimize complex operations for diverse clients, all from a remote setting across multiple time zones. The ideal candidate holds a Master’s or Ph.D.

in a quantitative field and has 7+ years in OR/analytics. You will translate insights into actionable recommendations, mentor peers, and present findings to

Qualifications

• Master's or Ph.D. in a quantitative field.
• At least 7 years of experience in operations research, analytics, or a related quantitative role.

Responsibilities

• Develop, implement, and validate mathematical models for optimization problems, including linear programming, integer programming, and queuing theory.
• Design and execute complex simulations to evaluate operational scenarios and predict performance outcomes.
• Apply statistical methods and machine learning techniques to analyze large datasets, identify trends, and forecast future outcomes.
• Translate analytical findings into clear, concise, and actionable recommendations for clients and internal stakeholders.
• Collaborate virtually with cross-functional teams, including data scientists, software engineers, and business analysts.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) and model results.
• Stay abreast of the latest advancements in operations research, analytics, and related technologies.
• Mentor and guide junior analysts and engineers on analytical methodologies and best practices.
• Ensure the integrity and accuracy of data used in models and analyses.
• Present complex analytical findings to both technical and non-technical audiences through virtual presentations.

Skills

Mathematical modeling

Simulation

Statistical analysis

Data science

Education

Master's or Ph.D. in Industrial Engineering, Operations Research, Applied Mathematics, Computer Science, or related quantitative field

Job description

Remote Industrial Engineer - Operations Research and Analytics

About the Role Our client, a global leader in data-driven business solutions, is seeking a highly analytical Remote Industrial Engineer specializing in Operations Research and advanced analytics. This role is critical for developing sophisticated models and algorithms that optimize complex operational processes for our diverse clientele. The ideal candidate will have a robust background in mathematical modeling, simulation, statistical analysis, and data science, with a proven ability to translate analytical insights into actionable business strategies. As a fully remote position, this role demands exceptional self-motivation, strong virtual collaboration skills, and the ability to work independently across different time zones. You will be at the forefront of leveraging cutting‑edge analytical techniques to solve challenging business problems, driving significant improvements in efficiency, cost, and performance for our clients. This is an unparalleled opportunity to shape the future of operations research and analytics from a remote setting.

Key Responsibilities

• Develop, implement, and validate mathematical models for optimization problems, including linear programming, integer programming, and queuing theory.
• Design and execute complex simulations to evaluate operational scenarios and predict performance outcomes.
• Apply statistical methods and machine learning techniques to analyze large datasets, identify trends, and forecast future outcomes.
• Translate analytical findings into clear, concise, and actionable recommendations for clients and internal stakeholders.
• Collaborate virtually with cross‑functional teams, including data scientists, software engineers, and business analysts.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) and model results.
• Stay abreast of the latest advancements in operations research, analytics, and related technologies.
• Mentor and guide junior analysts and engineers on analytical methodologies and best practices.
• Ensure the integrity and accuracy of data used in models and analyses.
• Present complex analytical findings to both technical and non-technical audiences through virtual presentations.

Requirements

• Master's or Ph.D. in Industrial Engineering, Operations Research, Applied Mathematics, Computer Science, or a related quantitative field.
• A minimum of 7 years of experience in operations research, advanced analytics, or a similar quantitative role.