We are seeking a curious and analytical Operations Research Engineer to help design and implement optimization and simulation models that drive smarter business decisions.
Requirements
- Master’s degree in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related field.
- Strong understanding of optimization (linear, integer, nonlinear), simulation, graph theory, and statistical analysis.
- Solid programming skills in Python, Java, or C++ with practical experience in applying OR libraries (e.g., OR-Tools, Gurobi, CPLEX).
- Excellent analytical thinking and structured problem-solving abilities.
- Strong communication skills in English, both written and verbal.
- Comfortable working independently and collaboratively within multicultural, cross-functional teams.
- 1–2 years of hands-on experience applying OR techniques in industry or academic settings is preferred.
- Familiarity with data visualization tools (e.g., Tableau, Streamlit) and basic knowledge of machine learning are a plus.
Benefits
- Competitive compensation package
- Flexible working hours and a hybrid or remote work model
- Comprehensive healthcare coverage
- Generous paid time off and holiday allowance
- Annual learning & development stipend
- Collaborative and inclusive team culture with a global mindset
- Access to modern tools and a forward-thinking, impact-driven environment
- Opportunity to make a real impact in energy, commodities, and logistics markets
Originally posted on Himalayas
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