Remote Industrial Engineer - Operations Research and Analytics

Placements24; Randburg; Remote; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary package

Remote work flexibility

Health, dental, and vision insurance

Retirement savings plan with match

Professional development budget

Annual bonuses and incentives

Home office allowance and IT support

Job summary

Placements24 is seeking a highly analytical Industrial Engineer (remote) to lead operations research and advanced analytics for global clients. You will develop optimization models, run simulations, and apply ML to forecast outcomes, translating insights into business strategies in a fully remote setting.

The role requires 7+ years in OR/analytics, a strong math background, and proficiency in Python/R/C++. Collaboration across virtual teams and strong communication are essential for success in

Qualifications

• Master’s or Ph.D. in Industrial Engineering, Operations Research, Applied Mathematics, Computer Science, or a related quantitative field.
• 7+ years of experience in operations research or advanced analytics.
• Experience developing optimization algorithms and simulation models.
• Proficiency in Python, R, or C++ and related libraries.
• Strong statistics, ML, and data-mining knowledge.
• Excellent analysis, problem-solving, and communication skills.

Responsibilities

• Develop, validate, and optimize mathematical models for operations research problems.
• Design and run complex simulations to compare scenarios and predict outcomes.
• Apply ML and statistics to analyze large datasets and forecast results.
• Translate insights into actionable client recommendations and strategies.
• Collaborate with data scientists, software engineers, and business analysts.
• Create dashboards and reports to visualize KPIs and model results.
• Stay updated on OR advancements and best practices.
• Mentor junior analysts and engineers in analytical methods.

Skills

Optimization

Simulation modeling

Statistics

Python

R

C++

Machine learning

Communication

Project management

Remote work

Education

Master’s or PhD in Industrial Engineering or related

Tools

SciPy

NumPy

PuLP

Gurobi

CPLEX

Spark

Hadoop

Job description

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.
• Demonstrated expertise in developing and applying optimization algorithms and simulation modeling techniques.
• Proficiency in programming languages commonly used in data science and OR (e.g., Python, R, C++), and associated libraries (e.g., SciPy, NumPy, PuLP, Gurobi, CPLEX).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Exceptional virtual communication, presentation, and interpersonal skills, crucial for a remote role.
• Proven ability to manage projects independently and deliver high-quality results in a remote work environment.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Must be comfortable and effective working entirely remote.

Benefits

• Highly competitive salary package, reflecting specialized skills and remote work flexibility.
• Comprehensive health, dental, and vision insurance.
• Generous retirement savings plan with employer match.
• Significant budget for professional development, including conferences and certifications.
• Flexible work hours and generous paid time off.
• Opportunity to work on challenging and impactful projects for leading global companies.
• Annual bonuses and performance-driven incentives.
• Access to cutting-edge analytical tools and platforms.
• A culture that promotes innovation, continuous learning, and remote collaboration.
• Home office setup allowance and ongoing IT support.