Optimization Specialist

2 weeks ago

Singapore beBeeOptimization Full time $90,000 - $120,000
Senior Data Scientist Job

We are seeking a skilled Senior Data Scientist to enhance our mathematical optimization/operations research area.

About the Role

This senior position involves applying data science and machine learning skills to exact/approximate methods for linear and nonlinear optimization problems.

The ideal candidate will collaborate with cross-functional teams, design, develop, and deploy optimization solutions that have a direct impact on aircraft assignment, crew scheduling and other related operational areas, including predictive models to forecast demand, disruptions, or operational KPIs.

They will validate models and solutions through rigorous testing, scenario analysis, and sensitivity studies; communicate results and trade-offs clearly to technical and non-technical audiences.

Required Skills and Qualifications
  • Advanced degree in Computer Science, Mathematics, Physics or a related discipline
  • 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:
  • Operations Research, such as linear/integer/mixed-integer programming.
  • Optimization Algorithms, such as those in gradient-based methods or metaheuristic methods.
Benefits

A successful candidate will 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.

They will also monitor and maintain production optimization services, troubleshoot issues, and iterate on models and algorithms as business needs evolve.

What We Offer

This is an opportunity for the right professional to stay current on advances in operations research, optimization solvers (e.g., Gurobi), algorithmic improvements, and relevant data science techniques; evaluate new tools or libraries and recommend adoption where beneficial.

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