Industrial Engineer (Operations Research)

Chesterfield, NH - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Job Description

The Distributed Construction team at MiTek is transforming the construction industry by advancing a digitally enabled data-driven approach to design manufacturing and delivery. Leveraging BIM/VDC advanced manufacturing and industrial engineering principles to redefine how buildings are planned and executed at scale.

The Industrial Engineer is a hands-on technical contributor position responsible for owning maintaining updating and executing decision-support algorithms that inform logistics supply chain and operations decisions across modular construction projects. This role will focus on ensuring that analytical models and algorithms are robust scalable and consistently applied to new projects while also improving them over time based on learnings data and evolving business needs. This role bridges theory and execution by turning industrial engineering methods into repeatable production-ready decision-support tools.

Job Responsibilities & Requirements

Responsibilities:

Own and maintain decision-support algorithms and analytical models used across the distributed construction platform (e.g. inventory optimization line balancing labor planning capacity planning and logistics design)
Execute and adapt decision-support models for new volumetric construction projects ensuring consistency accuracy and relevance to project-specific assumptions
Update refine and enhance optimization simulation heuristic and meta-heuristic algorithms based on new data business learnings operational feedback and changing constraints
Partner closely with the Sr. Manager Decision Support to translate strategic intent into executable scalable analytical solutions
Collaborate with technology and data engineering teams to support deployment versioning documentation and maintainability of decision-support tools
Prepare simulation models scenarios and what-if analyses to evaluate tradeoffs and support informed decision-making
Reconcile model assumptions and outputs with actual operational performance; identify gaps and improvement opportunities
Prepare clear concise outputs (models summaries and visualizations) for internal stakeholders and leadership reviews
Maintain and update documentation of algorithms assumptions inputs and outputs to ensure accuracy transparency and repeatability
Conduct ad hoc analyses in support of innovation pilots new concepts and operational problem-solving

Required Qualifications:

Masters degree in Industrial Engineering Operations Research Applied Mathematics or closely related field required
3-6 years or relevant experience applying quantitative models in operations supply chain logistics or applied research environments required
Proficiency in Python including experience with Pandas NumPy optimization solver APIs (e.g. Gurobi) and data visualization libraries required
Hands-on experience building and applying linear integer mixedinteger and nonlinear optimization models required
Handson experience with heuristics and/or metaheuristics (e.g. rulebased heuristics genetic algorithms simulated annealing tabu search or related techniques) required
Working knowledge of SQL and experience querying validating and reconciling structured datasets required
Strong proficiency with Microsoft Excel and PowerPoint for modeling analysis and executive-ready communication required

Preferred Qualifications:

PhD coursework or research experience is a plus
Experience using data visualization tools (e.g. Tableau Power BI Spotfire Qlik) to communicate analytical insights effectively preferred
Experience with discrete-event agent-based simulation frameworks is strongly preferred
Experience applying AI assisted analyticsincluding predictive modeling statistical analysis and rule based or automated pattern detection techniquesto support data collection data validation prediction and analytical workflow automation and optimization in decision support or operations contexts; machine learning experience is a plus
Familiarity with Dash or building interactive analytical applications is a plus
Familiarity with modern analytics and data science concepts including model lifecycle management and continuous improvement is a plus

Additional Requirements:

10% travel as needed for on-site support and meetings

MiTek Perks:

Generous time off including Paid Time Off 13 annual holidays and volunteer time off
Day One Medical/Rx Dental and Vision Plans
Family friendly benefits including Paid Caregiver Leave Paid Parental Leave and Adoption Reimbursement
Performance/Incentive bonuses
Career advancement training opportunities Employee Resource Groups and tuition reimbursement
Retirement programs including Matching 401(k) Contributions and Profit Sharing
Employer paid Short-Term Disability Long-Term Disability and LifeInsurance
myFlexPay partner allows you to track manage and access your pay anytime

MiTek is a platform innovator and enabler that exists to transform the building industry with better building 1955 MiTek transformed residential construction with the invention of the Gang-Nail plate and a digital platform that provided an affordable and scalable way to manufacture wood trusses. Today MiTek delivers software services engineered products and automated solutions that enable the building industry toimprove efficiencies by optimizingthe balance between off-site and on-site. With nearly 5600 team members worldwide MiTek collaborates across the building industry to enable and accelerate transformational breakthroughs in design and construction to transform the way the industry designs makes and builds. As a Berkshire Hathaway (NYSE: BRK-A NYSE: BRK-B) company since 2001 MiTek has a record of continuous growth and innovation.

MiTek is an E-Verify and Drug and Tobacco-Free Workplace.

We are an equal opportunity employer; and all qualified applicants will receive consideration for employment without regard to race color creed religion national origin ethnicity physical or mental disability sex (including pregnancy sexual orientation gender identity or expression or transgender status) age (40 and over) genetic information (including family medical history) veteran status or any other protected characteristic.

For accommodation to assist with completing this application please contact Human Resources at 1 .

Required Experience:

Job DescriptionThe Distributed Construction team at MiTek is transforming the construction industry by advancing a digitally enabled data-driven approach to design manufacturing and delivery. Leveraging BIM/VDC advanced manufacturing and industrial engineering principles to redefine how buildings ar...