Machine Learning & Numerical Optimization Specialist (remote contract) For more than 150 years, our client has combined its unparalleled expertise in glass science, ceramics science, and optical physics, along with its deep manufacturing and engineering capabilities, to develop category-defining products that transform industries and enhance people's lives. With five major business sectors: display technologies, environmental technologies, life sciences, optical communications, and specialty materials, they are also among the Forbes 500 largest companies in the US. Please Note: This role is restricted to U.S. persons (i.e., U.S. citizens, permanent residents, and other protected individuals under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)) due to access to export-controlled technology. Our client will require proof of status prior to employment 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 · 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. · 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. Must be willing to go onsite 1 -2 times during the contract 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. We thank all candidates for their application, however only those that qualify will be contacted. ROC1 Job Type: Contract Pay: $85.00 - $118.00 per hour Benefits: 401(k) Dental insurance Health insurance Paid time off Vision insurance Schedule: Day shift Monday to Friday Work Location: Remote