Numerical Optimization Specialist - Remote

Jobs via Dice; New York (NY); Remote; USD 100,000 - 150,000; Full time

Job summary

A leading technology and talent solutions firm is looking for a Numerical Optimization Specialist to develop and implement large-scale optimization models. This remote position requires a PhD and extensive experience in numerical optimization, as well as proficiency in relevant programming languages. Join a team dedicated to solving complex optimization problems and optimizing supply chain processes for significant impacts in manufacturing.

Qualifications

• Minimum of 10 years of experience in numerical optimization roles in industry.
• Expertise in convex optimization and large-scale optimization solvers.
• Strong ability to translate business processes into mathematical models.

Responsibilities

• Design and implement large-scale optimization models including LP, NLP, and MILP.
• Collaborate with teams to define optimization problems and translate needs into models.
• Document optimization solutions and provide training to personnel.

Skills

Convex optimization

MILPs

NLPs

Large-scale optimization solvers

Python

MATLAB

AMPL

Git

Problem-solving

Teamwork

Education

PhD in Chemical Engineering, Computer Science, or related field

Tools

Gurobi

Pyomo

AMPL

MATLAB

Job description

Numerical Optimization Specialist - Remote

Numerical Optimization Specialist - Remote

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Dice is the leading career destination for tech experts at every stage of their careers. Our client, DivIHN Integration Inc., is seeking the following. Apply via Dice today!

DivIHN (pronounced divine ) is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.

Visit us at to learn more and view our open positions.

Please apply or call one of us to learn more

For further inquiries regarding the following opportunity, please contact one of our Talent Specialists:

Naga at

Lavanya at

Title: Numerical Optimization Specialist - Remote

Location: Remote

Duration: 12 Months with possible extension

Travel Is Required

Job Description :

• 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.
• 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 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.
• Build LP, NLP, and MILP models for large-scale optimization problems.
• People want to travel 1 or 2 trip to the site
• Develop optimization models from scratch and enhance existing ones.
• Solving the Optimization Problem with the operation process Module
• No regular travel; only occasional site visits
• Ideal for candidates with a graduate-level background in optimization and hands-on modeling experience
  
  

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.
• Ms Office
  
  

Prefered Skills

• Preferred tools like Pyomo, AMPL
  
  

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.
  
  

Video Interview

About us:

DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.

DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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