Numerical Optimization Specialist - Remote

US Tech Solutions; Painted Post (NY); Remote; USD 100,000 - 130,000; Full time

Job summary

A leading technology and optimization solutions provider is seeking a Numerical Optimization Specialist for a remote opportunity. The role involves designing large-scale optimization models, working with interdisciplinary teams, and utilizing advanced programming languages to tackle complex challenges. Candidates should have a strong background in numerical optimization, including significant industry experience and a PhD. This position offers a long-term contract with the potential for extension, contributing to impactful initiatives aimed at continuous improvement.

Qualifications

• Minimum 10 years of experience in numerical optimization roles.
• Expertise in convex optimization, MILPs, NLPs and optimization solvers.
• Ability to translate business processes into mathematical models.

Responsibilities

• Design, develop, and implement large-scale optimization models.
• Collaborate with supply chain specialists to define optimization problems.
• Document solutions and provide training to manufacturing personnel.

Skills

Convex optimization

MILPs

NLPs

Programming (Python, MATLAB, AMPL)

Data analysis

Education

PhD in Chemical Engineering, Computer Science or related field

Tools

Gurobi

Pyomo

AMPL

MATLAB

Job description

Numerical Optimization Specialist - Remote

Employer Industry: Technology and Optimization Solutions

Why consider this job opportunity:
- Opportunity for a long-term contract with potential for extension
- Work on large-scale optimization models, enhancing your technical skills in a dynamic environment
- Collaborate with interdisciplinary teams and engage with both technical and non-technical stakeholders
- Chance to contribute to continuous improvement initiatives within the organization
- Utilize advanced programming languages and optimization tools to solve complex problems

What to Expect (Job Responsibilities):
- Design, develop, and implement large-scale optimization models including LP, NLP, and MILP
- Collaborate with supply chain specialists and operations teams to define optimization problems
- Formulate optimization problems for model predictive control (MPC) applications
- Develop optimization solutions using tools like Gurobi, Pyomo, AMPL, and MATLAB
- Document solutions and provide training to manufacturing and engineering personnel as needed

What is Required (Qualifications):
- Minimum of 10 years of experience in numerical optimization roles in industry
- Expertise in convex optimization, MILPs, NLPs, and large-scale optimization solvers
- Proficiency in programming languages such as Python, MATLAB, and AMPL
- Strong ability to translate business processes into mathematical models
- PhD in Chemical Engineering, Computer Science, or a related field with a focus on Optimization

How to Stand Out (Preferred Qualifications):
- Familiarity with machine learning and data analysis techniques
- Experience working with supply chain specialists and operations teams
- Ability to identify and define objective functions based on business needs

#Optimization #DataAnalysis #MachineLearning #EngineeringJobs #CareerOpportunity

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About the company

Our Talent Your Results - This is the premise behind US Tech Solutions.Our flexible engagement model offers right-fit talent on-demand - when, where and how you need it, so you can achieve your business objectives. We offer contingent, contract-to-hire or direct staffing services.At USTECH, we understand how critical talent is to every organization, as well as how the world of work and the workplace is changing. We offer the most effective means to help you acquire, manage and optimize talent.USTECH was founded in 2000 by Manoj Agarwal. Today, we are a global firm offering talent solutions to 150 customers including 20% of Fortune 500 across Financial Services, Healthcare, Life Sciences, Aerospace, Energy, Retail, Telecom, Technology, Manufacturing, and Engineering.

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