Optimization Research Professional

5 days ago

Singapore beBeeDataScientist Full time

Mathematical Optimization Specialist

We are seeking a highly skilled specialist to join our optimization research area. As a mathematical optimization specialist, you will expand on your prior repertoire of skills in data science and machine learning to include exact/approximate methods for linear and nonlinear optimization problems.

Key Responsibilities:

  • Collaborate with cross-functional teams to identify and frame challenging problems in mathematical optimization and operations research.
  • Design, develop, and deploy optimization solutions that have direct impact on aircraft assignment, crew scheduling and other related operational areas, including predictive models to required forecast demand, disruptions, or operational KPIs.
  • Work closely with application development teams to help them operationalize and integrate optimization capabilities on their software systems, advise on data requirements, API design, performance considerations, and monitoring.
  • Monitor and maintain production optimization services, troubleshoot issues, and iterate on models and algorithms as business needs evolve.
  • Stay current on advances in operations research, algorithmic improvements, and relevant data science techniques; evaluate new tools or libraries and recommend adoption where beneficial.

Requirements:

  • BS in Computer Science, Mathematics, Physics or a related discipline is required. PhD and MS degrees related to mathematical optimization are highly desired.
  • Advanced programming skills in Python. Conversant with data structure, algorithm design/analysis, and object-oriented programming paradigm.
  • At least 2 years of relevant technical experience in two or more of the following areas:
  • Intermediate or advanced skills in operations research, such as linear/integer/mixed-integer programming.
  • Good understanding of some subareas of optimization algorithms, such as those in gradient-based methods or metaheuristic methods.
  • Familiarity of common Python optimization libraries, such as NumPy, SciPy, CVXPY, PuLP, and Pyomo.
  • Modern optimization platforms such as Gurobi, CPLEX or Google OR-Tools.
  • Prior experience or knowledge in aviation/airlines operation is a plus.
  • Some hands-on experience with AWS, GCP or similar public cloud environment.
  • Excellent interpersonal & communication skills for working with both technical staff and non-technical business users.
  • Experience with Agile/Scrum/Kanban methodologies is a plus.

Benefits:

The ideal candidate will have strong analytical and problem-solving skills, excellent communication skills, and be able to work effectively in a team environment.

Others:

Applicants must have a solid foundation in computer science and mathematics, and be familiar with various optimization algorithms and techniques.

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