Remote - Numerical Optimization Specialist(25% travel expected)

Overview

Hybrid
$100 - $125
Contract - W2
Contract - 12 Month(s)

Skills

nlp
almp
gurobi
Pyomo
AMPL

Job Details

Job Title: Numerical Optimization Specialist

Schedule: Monday through Friday: 8:00 a.m. 5:00 p.m. (possible weekend work too) plus on-call/emergency call-in hours. Call-in- Location/Type: Hybrid remote mostly and on-site as needed (can be located anywhere in the us as long as willing to travel to Corning or any plant for a few days)

Minimum Education: PhD in Chemical Engineering, Computer Science, or a related field with a focus on Optimization during graduate studies.

  • Experience: 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.
  • Travel Requirements: Domestic and international travel up to 25% to manufacturing sites.
  • Work Schedule: Monday-Friday, 40 hours with overtime as required.

Key Responsibilities

  • 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.

Required Skills

  • 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.

Desired 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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