Remote Industrial Engineer - Advanced Analytics & Simulation

Placements24; Benoni; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Health insurance

Performance bonuses

Retirement plan contributions

Training and development resources

Remote-first flexibility

Job summary

Placements24 in South Africa is seeking a highly skilled Remote Industrial Engineer focused on advanced analytics and simulation modeling. This role develops sophisticated simulation models to optimize industrial processes, supply chains, and operations for diverse clients, working remotely with a global team.

The ideal candidate has 7+ years in industrial engineering, expertise in stochastic/deterministic models, and proficiency with simulation tools like AnyLogic, Arena, and Simio, plus strong

Qualifications

• Master's or Ph.D. in Industrial Engineering, OR related quantitative field.
• Minimum 7 years of industrial engineering experience with simulation focus.
• Experience with stochastic and deterministic simulation models.
• Proficiency in AnyLogic, Arena, Simio and stats packages (R, Python, SPSS).
• Strong programming skills in Python or C++ and data analytics.
• Solid understanding of experimental design and data mining techniques.
• Excellent analytical, problem-solving and communication abilities.
• Ability to work independently in a remote setting; client-facing experience is a plus.

Responsibilities

• Develop, validate, and implement complex simulation models for diverse processes.
• Apply advanced statistics and data mining to analyze large datasets.
• Design 'what-if' scenarios and sensitivity analyses using simulations.
• Interpret results and provide actionable operational recommendations.
• Collaborate with clients and internal teams to define project objectives.
• Create visualizations and reports for technical and non-technical stakeholders.
• Stay updated on latest simulation software and analytics methods.
• Contribute to best practices and standardized approaches for projects.
• Mentor junior engineers in simulation and analytics tools.
• Ensure data integrity and accuracy of models and inputs.

Skills

Analytical thinking

Problem solving

Communication skills

Education

Master's or Ph.D. in Industrial Engineering or related

Tools

AnyLogic

Arena

Simio

R

Python

SPSS

Job description

About the Role

Our client, a forward-thinking technology solutions provider, is seeking a highly skilled Remote Industrial Engineer to focus on advanced analytics and simulation modeling. This fully remote position is designed for an individual who thrives on complex problem-solving and possesses a strong aptitude for data-driven decision-making. You will be responsible for developing sophisticated simulation models to analyze and optimize various industrial processes, supply chains, and operational systems for a diverse client base. This role demands exceptional analytical capabilities, a deep understanding of statistical methods, and proficiency in cutting-edge simulation software. Working remotely, you will collaborate with a global team of experts, delivering high-impact insights and solutions that drive significant operational improvements for clients worldwide. This is an exceptional opportunity to leverage your expertise in a flexible, remote-first environment.

Key Responsibilities

• Develop, validate, and implement complex simulation models for diverse industrial and business processes.


• Apply advanced statistical techniques and data mining methods to analyze large datasets and extract meaningful insights.


• Design and conduct 'what-if' scenarios and sensitivity analyses using simulation models to evaluate process improvements.


• Interpret simulation results and translate them into actionable recommendations for operational enhancements.


• Collaborate with clients and internal teams to understand operational challenges and define project objectives.


• Create compelling visualizations and reports to present complex analytical findings to technical and non-technical stakeholders.


• Stay abreast of the latest advancements in simulation software, data analytics techniques, and industrial engineering methodologies.


• Contribute to the development of best practices and standardized approaches for simulation and analytics projects.


• Mentor junior engineers in the application of simulation and analytical tools.


• Ensure the integrity and accuracy of all data used and models developed.

Requirements

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


• Minimum of 7 years of experience in industrial engineering with a strong specialization in simulation modeling and advanced data analytics.


• Demonstrated expertise in developing and applying stochastic and deterministic simulation models.


• Proficiency in industry-standard simulation software (e.g., AnyLogic, Arena, Simio) and statistical packages (e.g., R, Python, SPSS).


• Strong programming skills in relevant languages (e.g., Python, C++).


• Deep understanding of statistical analysis, experimental design, and data mining techniques.


• Excellent analytical, problem-solving, and critical thinking skills.


• Exceptional communication and presentation skills, essential for conveying complex technical information remotely.


• Proven ability to work independently and manage projects effectively in a remote setting.


• Experience in a client-facing or consulting role is a significant advantage.

Benefits

• This fully remote position offers a highly competitive salary and an excellent benefits package, including comprehensive health insurance, performance-based bonuses, and retirement plan contributions.


• Our client is committed to employee growth, providing access to ongoing training, professional development resources, and opportunities to work on challenging, impactful projects.


• Enjoy the ultimate flexibility and work-life balance with this remote role, based anywhere within South Africa.


• This is a unique chance to contribute to innovative solutions for global clients from Benoni, Gauteng.