Scientist Position Available In Steuben, New York

Scientist at Compunnel Inc.
Scientist at Compunnel Inc. in Painted Post, New York
Posted in Other 3 days ago.

Type:

full-time

Job Description:

Job Title:

Numerical Optimization Specialist (ONLY W2)

Location/Type:

Hybrid

• REMOTE
  USC or GC
  please share resume on jaswinder.kaurpunnel

• 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.

Estimated Start Date:

July 14, 2025

Travel Requirements:

Domestic and international travel up to 25% to manufacturing sites.

Work Schedule:

Monday-Friday 40 hours with overtime as required.
immigration

Status:

Must be eligible to work in the US for a minimum of 18 months
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 andplex 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 andmunicate 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 andmunicate effectively with technical and business stakeholders.
• Strong problem-solving skills, teamwork, adaptability, andmunication 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.