Operations Research Scientist

Job Title: Operations Research -SCM

Location: Hybrid (Chennai, Bangalore, Kolkata, Gurugram, Hyderabad & Pune )

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As an Operations Research Scientist 

1. Perform Data Analysis and Interpretation:
   • Analyze large datasets to extract meaningful insights and support decision-making processes. Use Python to process, visualize, and interpret data in a clear and actionable manner.
2. Develop and Implement Models:
   • Create mathematical models to address complex business problems and improve operational efficiency. Ability to use solvers like CPLEX, Gurobi, FICCO Xpress. Free solvers like Pulp, Pyomo etc.
   • Apply optimization techniques and heuristic methods to devise effective solutions.
   • Design and implement algorithms to solve optimization problems and enhance existing systems with advanced techniques like column generation, decomposition techniques
   • Test and validate algorithms to ensure accuracy and efficiency.
3. Collaboration and Communication:
   • Work closely with cross-functional teams including data scientists, engineers, and business stakeholders to understand requirements and deliver solutions.
   • Present findings and recommendations to both technical and non-technical audiences.

Qualifications:

• Education: Bachelor’s or master’s degree in operations research, Applied Mathematics, Computer Science, Engineering, or a related field.
• Experience: 4-8 years of professional experience in operations research, data science, or a related field.
• Technical Skills:
  • Proficiency in Python, including libraries such as NumPy, pandas, SciPy, and scikit-learn, Pulp, Pyspark
  • Strong background in mathematical modeling and optimization techniques.
  • Experience with heuristic methods and algorithm development.
• Analytical Skills:
  • Ability to analyze complex datasets and derive actionable insights.
  • Strong problem-solving skills with a detail-oriented approach.
• Soft Skills:
  • Excellent communication skills, both written and verbal.
  • Strong team player with the ability to work independently and manage multiple tasks.

Preferred Qualifications:

• Experience with additional programming languages or tools (AMPL, LINGO, AIMMS).
• Familiarity with machine learning techniques and their applications in operations research.