Research Engineer Visa Sponsorship Jobs in Missouri

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:

• Master's degree in Industrial Engineering, Operations Research, Applied Mathematics or closely related field required
• 3-6 years of 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, mixed‑integer, and nonlinear optimization models required
• Hands‑on experience with heuristics and/or meta‑heuristics (e.g., rule‑based 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 analytics—including predictive modeling, statistical analysis, and rule based or automated pattern detection techniques—to 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 Life Insurance
• 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 solutions. In 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 to improve efficiencies by optimizing the balance between off-site and on-site. With nearly 5,600 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 +1 314-434-1200.