Remote Operations Research Analyst — Optimization & Data

Placements24

Bloemfontein

Hybrid

ZAR 480,000 - 720,000

Full time

3 days ago
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Benefits offered by this job

Competitive salary
Bonus structure
Health benefits
Professional development budget
Flexible remote work
Challenging projects

Job summary

Placements24 is seeking an analytical Operations Research Analyst to join a remote team supporting operations based out of Bloemfontein. You will apply advanced analytical techniques, mathematical modeling, and optimization methods to improve decision-making and profitability.

The ideal candidate has a strong quantitative background and excels at solving real-world challenges while working remotely with stakeholders across functions.

Qualifications

  • Master's or PhD in a quantitative field.
  • Experience applying optimization, statistical modeling and simulation.
  • Strong Python, R or MATLAB programming.
  • Familiarity with optimization solvers like Gurobi or CPLEX.
  • Excellent analytical and independent work in remote settings.

Responsibilities

  • Develop and implement mathematical models and optimization algorithms for scheduling, resource allocation, and logistics.
  • Analyze large datasets to identify trends and insights.
  • Design and conduct simulation studies to evaluate strategies.
  • Collaborate with stakeholders to define problems and gather requirements.
  • Communicate findings clearly to technical and non-technical audiences.
  • Stay current with advancements in OR, data science, and AI.

Skills

Optimization techniques
Statistical modeling
Python
R
MATLAB
Problem solving
Communication

Education

Master's or PhD in quantitative field

Tools

Gurobi
CPLEX
Python
MATLAB
R

Job description

Placements24 is seeking an analytical Operations Research Analyst to join a remote team supporting operations based out of Bloemfontein. You will apply advanced analytical techniques, mathematical modeling, and optimization methods to improve decision-making and profitability.

The ideal candidate has a strong quantitative background and excels at solving real-world challenges while working remotely with stakeholders across functions.

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