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Job Requirements of Numerical Optimization Specialist:
-
Employment Type:
Contractor
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Location:
Painted Post, NY (Onsite)
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Numerical Optimization Specialist
Careers Integrated Resources Inc
Painted Post, NY (Onsite)
Contractor
Job Title: Optimization Specialist
Job Location: Remote (Must be willing to travel to client’s location for few days, need basis)
Work Schedule: Mon-Fri 40 hours with overtime as required.
Job Description:
Minimum Education
Job Location: Remote (Must be willing to travel to client’s location for few days, need basis)
Work Schedule: Mon-Fri 40 hours with overtime as required.
Job Description:
Minimum Education
- PhD in Chemical Engineering, Computer Science, or a related field with a focus on Optimization during graduate studies.
- Minimum of 10 years of experience in numerical optimization roles in industry. Additional experience in academia in the field of numerical optimization is a bonus.
- Domestic and international travel up to 25% to manufacturing sites.
- Design, develop, and implement large-scale optimization models, including linear programming (LP), non-linear programming (NLP), and mixed-integer linear programming (MILP).
- Collaborate with supply chain specialists, planners, operations teams, and engineers to define optimization problems and translate business needs into objective functions and complex processes into mathematical constraints.
- Formulate optimization problems for model predictive control (MPC) applications and enhance existing MPC frameworks.
- Specify and gather data requirements for optimization problem formulation, working with data scientists and engineers to preprocess data.
- Develop optimization solutions using tools like Gurobi, Pyomo, AMPL, and MATLAB.
- Build optimization models from scratch and improve existing models to address challenges in manufacturing and scheduling.
- Work with business leaders to understand workflow and business logic and translate these into mathematical formulations.
- Use machine learning and data analysis techniques to define parameters, rules, and constraints for optimization problems.
- Collaborate in interdisciplinary teams and communicate optimization results effectively to technical and non-technical stakeholders.
- Document solutions and provide training to manufacturing and engineering personnel as needed.
- Expertise in convex optimization, MILPs, NLPs, and large-scale optimization solvers (e.g., Gurobi).
- Proficiency in programming languages such as Python (with Pyomo), MATLAB, and AMPL. Optional: familiarity with GAMS or MiniZinc.
- Experience working with Git and version control systems.
- Strong ability to translate business processes and workflow logic into mathematical models.
- Ability to collaborate with interdisciplinary teams and communicate effectively with technical and business stakeholders.
- Strong problem-solving skills, teamwork, adaptability, and communication skills.
- Familiarity with machine learning and data analysis techniques to support optimization problem formulation.
- Experience working with supply chain specialists, planners, and operations teams.
- Ability to identify and define objective functions based on business needs and workflow constraints.
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