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Technical > Mathematical Programmer

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Short Description:

A Mathematical Programmer, often known as an Optimization Scientist or Mathematical Optimization Engineer, is a professional who applies mathematical modeling and programming techniques to solve complex optimization problems. They play a crucial role in a wide range of industries, including logistics, finance, manufacturing, and transportation, by developing algorithms and software solutions to optimize decision-making processes and resource allocation.

Duties / Responsibilities:

  • Formulate and model real-world problems as mathematical optimization or linear programming tasks.
  • Develop algorithms and software applications to solve optimization problems efficiently.
  • Collaborate with subject matter experts to understand and define the objectives and constraints of optimization projects.
  • Implement and integrate optimization solutions into existing systems or workflows.
  • Test and validate optimization models and algorithms, fine-tuning them for improved performance.
  • Maintain and update optimization software to adapt to changing business requirements.
  • Analyze and interpret optimization results to make data-driven decisions.
  • Provide consultation and support to teams and stakeholders on optimization strategies and best practices.
  • Stay current with advances in mathematical optimization, linear programming, and algorithm development.
  • Communicate complex mathematical concepts and optimization results to non-technical stakeholders.

Skills / Requirements / Qualifications

  • Education: Bachelor's, master's, or Ph.D. in mathematics, computer science, operations research, or a related field.
  • Modeling Software: Proficiency in mathematical modeling and optimization software, such as CPLEX, Gurobi, or open-source tools like PuLP.
  • Programming: Strong programming skills in languages like Python, Java, or C++.
  • Mathematical Techniques: Knowledge of mathematical optimization techniques, linear programming, and integer programming.
  • Analytical: Problem-solving and analytical abilities to formulate and solve optimization problems.
  • Communication: Excellent communication and teamwork skills for collaboration with interdisciplinary teams and explaining optimization concepts to non-experts.
  • Industry Knowledge: Familiarity with industry-specific optimization problems and constraints, depending on the sector of employment.

Job Zones

  • Title: Job Zone Five Extensive Preparation Needed
  • Education: Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree).
  • Related Experience: Extensive skills, knowledge, and experience are needed for these occupations. Many require more than five years of experience. 
  • Job Training: Employees may need some on-the-job training, but most of these occupations assume that the person will already have the required skills, knowledge, work-related experience, or training.
  • Job Zone Examples: These occupations often involve coordinating, training, supervising, or managing the activities of others to accomplish goals. Very advanced communication and organizational skills are required. 
  • Specific Vocational Preparation in years: 4-7 years preparation (8.0 and above)

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