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Decision Engineer Jobs in Wisconsin (NOW HIRING)

Controls Engineer

Milwaukee, WI · On-site

$82K - $106K/yr

With years of experience and proven success in partnering with top industry leaders and decision ... Provide engineering support during installation of system or retrofit. * Assist in verification and ...

Controls Engineer

Milwaukee, WI · On-site

$82K - $106K/yr

With years of experience and proven success in partnering with top industry leaders and decision ... Provide engineering support during installation of system or retrofit. * Assist in verification and ...

Controls Engineer

Appleton, WI · On-site

$81K - $105K/yr

With years of experience and proven success in partnering with top industry leaders and decision ... This position will manage the engineering team to ensure customer satisfaction and project ...

Controls Engineer

Appleton, WI · On-site

$81K - $105K/yr

With years of experience and proven success in partnering with top industry leaders and decision ... This position will manage the engineering team to ensure customer satisfaction and project ...

Controls Engineer

Wausau, WI · On-site

$89K - $115K/yr

... decision-makers and project teams. * Experience with AutoCAD, or EPlan. * USA or Canadian ... engineering registration or the ability to become registered.

With years of experience and proven success in partnering with top industry leaders and decision ... Perform application engineering and prepare drawings and bills of materials for assigned projects ...

With years of experience and proven success in partnering with top industry leaders and decision ... Perform application engineering and prepare drawings and bills of materials for assigned projects ...

Product Design Engineer

Milwaukee, WI · On-site

$127K - $152K/yr

You will influence stakeholders and decision-makers through data driven analysis to secure support ... engineering and manufacturing principles, theories, and techniques. 5+ years' experience in ...

... decision-making, and reduce the time required to produce core business insights. This is MLG ... Rather than hiring a narrowly scoped reporting analyst or narrow data engineer, MLG Capital is ...

Data-driven decision-making * Change management and stakeholder alignment * Team leadership and ... Industrial Engineering * Operational Efficiency * Continuous Improvement * Kaizen Tools ...

WI · On-site

$90 - $110/hr

The Project Engineer II will utilize test development , data analysis , process ownership ... Facilitate cross-functional teams through problem solving, creative thinking, and decision-making ...

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Showing results 1-20

Decision Engineer information

What is a decision engineer?

Decision Engineers are professionals who apply analytical, mathematical, and computational techniques to help organizations make data-driven decisions. They often use tools from operations research, data science, and systems engineering to evaluate complex options, optimize processes, and predict outcomes. Their work enables businesses to solve challenging problems, improve efficiency, and minimize risks in decision-making processes.

How does a decision engineer typically collaborate with data scientists and business stakeholders to deliver impactful solutions?

Decision Engineers frequently act as a bridge between technical teams and business stakeholders. In a typical workflow, they collaborate with data scientists to understand the underlying data models and analytical outputs, then work closely with business leaders to translate these insights into actionable strategies. This often involves facilitating discussions to clarify business objectives, ensuring analytical approaches align with end goals, and iteratively refining solutions based on feedback. Strong communication and project management skills are essential, as Decision Engineers must synthesize complex information and drive consensus among diverse teams.

What are the key skills and qualifications needed to thrive as a decision engineer, and why are they important?

To thrive as a Decision Engineer, you need strong analytical skills, expertise in data modeling, and a background in fields like operations research, mathematics, or computer science. Familiarity with decision analysis tools, optimization software (such as CPLEX or Gurobi), and programming languages like Python or R is typically required. Exceptional problem-solving abilities, communication skills, and the capacity to synthesize complex information are valuable soft skills in this role. These competencies enable Decision Engineers to develop effective solutions for complex business challenges and drive data-informed decision-making.

What is the difference between Decision Engineer vs Data Scientist?

AspectDecision EngineerData Scientist
Required credentialsBachelor's or master's in engineering, analytics, or related fieldsBachelor's or master's in statistics, computer science, or related fields
Work environmentFocus on designing decision models, algorithms, and optimization processesFocus on analyzing data, building predictive models, and extracting insights
Employer and industry usageUsed in industries like manufacturing, finance, and logistics for decision automationCommon in tech, finance, healthcare for data analysis and modeling

Decision Engineers primarily develop decision models and optimize processes to improve business outcomes, while Data Scientists analyze data to generate insights and predictive models. Both roles require strong analytical skills, but Decision Engineers focus more on decision automation and operational efficiency, whereas Data Scientists focus on data analysis and modeling.

What cities in Wisconsin are hiring for Decision Engineer jobs?

Cities in Wisconsin with the most Decision Engineer job openings:

Decision Intelligence Lead - Strategic Supply Chain

Milwaukee Tool

Milwaukee, WI

Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago


Job description

Job Description:

The Decision Intelligence Lead is a senior individual contributor on the Decision Modeling team responsible for helping solve complex supply chain problems through analytical thinking, business expertise, and practical execution.

This role partners closely with Supply Chain Strategy and business leaders to understand challenges, determine the most effective approach, and execute the analysis using the appropriate combination of existing models, analytical tools, AI capabilities, and rapid prototyping.

The ideal candidate has a strong supply chain background, excellent business judgment, and exceptional problem-solving skills. They naturally ask insightful questions, quickly understand new business challenges, and know when a directional analysis is sufficient versus when a more sophisticated analytical model should be developed.

As AI and analytics capabilities continue to evolve, this individual will continuously evaluate how new technologies can accelerate decision making and expand the team's capabilities.

You'll be DISRUPTIVE through these duties and responsibilities:

  • Partner with business leaders to understand strategic supply chain challenges and translate them into analytical solutions.
  • Determine the most appropriate approach to answer a business question, balancing speed, accuracy, business value, implementation effort, and computational cost to deliver fit-for-purpose solutions.
  • Execute analyses using the best available tools, including optimization models, AI-assisted development, SQL, simulations, or other analytical methods.
  • Develop new analytical solutions when existing capabilities do not adequately answer the business need.
  • Rapidly prototype solutions to support time-sensitive decisions while identifying opportunities for more scalable long-term capabilities.
  • Clearly communicate recommendations, assumptions, tradeoffs, and risks to business stakeholders.
  • Continuously identify opportunities to improve how the team solves problems through new analytical methods, AI capabilities, and process improvements.
  • Share knowledge and help elevate analytical thinking across the Decision Modeling team.

The TOOLS you'll bring with you:

  • Bachelor's degree in Supply Chain, Industrial Engineering, Operations Management, Business Analytics, Logistics, or a related field.
  • 7+ years of experience solving complex supply chain or operations problems.
  • Strong understanding of end-to-end supply chain processes and tradeoffs.
  • Demonstrated ability to structure ambiguous business problems and develop practical solutions.
  • Strong analytical and critical thinking skills.
  • Excellent communication and stakeholder management skills.
  • Comfortable learning new technologies and analytical tools.

The TOOLS we would like you to have:

  • Experience with supply chain modeling, network design, inventory strategy, or operations consulting.
  • Experience using tools such as Databricks, optimization software (Llamasoft, Optilogic, Decision Spot, ...), Power BI, or AI-assisted analytics.
  • Experience developing analytical notebooks, simulations, or decision-support tools.

We provide these great perks and benefits:

  • Robust health, dental and vision insurance plans

  • Generous 401 (K) savings plan

  • Education assistance

  • On-site wellness, fitness center, food, and coffee service

  • And many more, check out our benefits siteHERE

Milwaukee Tool is an equal opportunity employer.