Our Client, a Business Supply and Manufacturing company, is looking for a Numerical Optimization Specialist for their Painted Post, NY/Hybrid location.
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.
Requirements:- 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.
- 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.
Why Should You Apply?- Health Benefits
- Referral Program
- Excellent growth and advancement opportunities
As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.About the company
ICONMA is a nationwide consulting firm with corporate headquarters in Troy, MI, providing Professional Staffing and Project Based Services and Solutions for Fortune 1000 clients in a broad range of industries. Core Industries served include: Biotech/Ph...
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