Numerical Optimization Specialist – Remote Position Available In Steuben, New York

• Duration:

  12+ months contract with Extension

• Job Description:

• + 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.

• 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. + Sound knowledge of job and a substantial acquaintance with the general aspects of the job. + Intermediate level technical understanding. Implements standard procedures and proposes intermediate level modifications to improve workflow. + Still generally obtains input to solve more complex problems. Works under general site supervision. + Able to gather information independently using established and defined procedures. + Takes initiative in the area of continuous improvement. Uses some discretion. + Contacts are typically within organization. + May occasionally have contacts with others outside of the organization to seek clarity or ask for interpretation.

• 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.

• Education:

• + PhD in Chemical Engineering, Computer Science, or a related field with a focus on Optimization during graduate studies.

• About US Tech Solutions:

• US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions.

To know more about US Tech Solutions, please visit www.ustechsolutions.com (http://www.ustechsolutionsinc.com) . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.