Optimization Specialist

2 days ago


Bengaluru, Karnataka, India Blue Yonder Full time

Job Summary

Blue Yonder is seeking a highly skilled Optimization Specialist to join our team. As a key member of our optimization team, you will be responsible for formulating and solving complex optimization problems using classical and advanced methods.

Key Responsibilities

  • Identify and model optimization problems across different business units, focusing on linear programming, mixed-integer linear programming, combinatorial optimization, and scheduling.
  • Design and implement robust optimization algorithms, including classical methods and advanced heuristic and metaheuristic techniques such as genetic algorithms, simulated annealing, tabu search, and particle swarm optimization.
  • Evaluate and select appropriate optimization solvers, both commercial and non-commercial, and customize them as necessary.
  • Collaborate with stakeholders to translate business challenges into quantitative models and offer innovative solutions that leverage optimization techniques.
  • Perform data analysis and statistical validation of models and solutions to ensure accuracy and efficacy.
  • Stay up-to-date with the latest developments in optimization and computational intelligence and incorporate these advancements into problem-solving strategies.
  • Document and communicate methodologies, solutions, and impacts of optimization projects to a diverse audience.

Requirements

  • 5 to 8 years of experience in Operations Research.
  • Master's or Ph.D. in Operations Research, Applied Mathematics, Statistics, Computer Science, Data Science, or a related field.
  • Deep understanding of a wide range of optimization theories and methods, including linear programming, mixed-integer linear programming, combinatorial optimization, scheduling, and heuristic and metaheuristic algorithms.
  • Proficient in optimization modeling languages and tools, such as AMPL, Python with PuLP or Pyomo, and MATLAB.
  • Demonstrable experience with both commercial and non-commercial optimization solvers, with a keen ability to tailor solutions to complex problems.


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