1

Decision Engineer Jobs in Colorado (NOW HIRING)

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... They are seeking a hands-on Staff-level Applied AI Engineer to build the next generation of ...

$175K - $220K/yr

GovCIO is currently hiring for AI/ML Engineer develops and integrates advanced machine learning and large language model systems to support defense simulation, data fusion, and autonomous decision ...

Staff Applied AI Engineer

Westminster, CO ยท On-site

$124K - $206K/yr

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... You will operate as a roving specialist across our engineering organization, working at the ...

Chief Engineer This Project Lead/Chief Engineer serves as the senior technical leader and project ... Establish and maintain effective program governance, communication, decision-making, and execution ...

Chief Engineer This Project Lead/Chief Engineer serves as the senior technical leader and project ... Establish and maintain effective program governance, communication, decision-making, and execution ...

Data Engineer

Denver, CO ยท On-site

$90K - $107K/yr

The Data Engineer at Hercules Industries is responsible for building, governing, and continuously improving the data foundation that powers decision-making across supply chain, operations, and ...

The Data Engineer at Hercules Industries is responsible for building, governing, and continuously improving the data foundation that powers decision-making across supply chain, operations, and ...

The Data Engineer at Hercules Industries is responsible for building, governing, and continuously improving the data foundation that powers decision-making across supply chain, operations, and ...

We're the engineering excellence partner within Cybersecurity and Trust - building the unified data foundation, intelligent automation, and decision support tools that enable security teams to make ...

next page

Showing results 1-20

Decision Engineer information

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.

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 Decision Engineers?

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.

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 job categories do people searching Decision Engineer jobs in Colorado look for? The top searched job categories for Decision Engineer jobs in Colorado are:
What cities in Colorado are hiring for Decision Engineer jobs? Cities in Colorado with the most Decision Engineer job openings:

Staff Applied AI Engineer

Vantor

Westminster, CO โ€ข On-site

Full-time

Posted 21 days ago


Job description

Job Summary:
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate whatโ€™s happening now and shape whatโ€™s coming next. They are seeking a hands-on Staff-level Applied AI Engineer to build the next generation of decision intelligence within their mission planning systems, focusing on optimization and machine learning. The role involves developing models, designing decision-support systems, and ensuring security in AI-driven capabilities.
Responsibilities:
โ€ข Develop models to attribute revenue to individual collection plans
โ€ข Build counterfactual and simulation frameworks to evaluate alternative strategies
โ€ข Design decision-support systems used daily by mission planners
โ€ข Apply optimization, reinforcement learning, and heuristic approaches
โ€ข Map system complexity and identify efficiency improvements
โ€ข Rapidly prototype solutions using AI-assisted development tools
โ€ข Collaborate across engineering, data, and product teams
โ€ข Engineer AI-driven capabilities that enable MPS to act as an autonomous or semi-autonomous operator, balancing automation with human-in-the-loop control
โ€ข Design and build systems aligned to zero trust and DevSecOps principles, ensuring security is foundationalโ€”not an afterthought
โ€ข Contribute to open architecture and integrated data layer strategies that enable secure collaboration with partners and allied systems
โ€ข Build and deploy cloud-native solutions that enable remote mission operations and dramatically reduce planning cycle times
Qualifications:
Required:
โ€ข 5+ years building data-driven or ML-powered systems
โ€ข Strong Python or similar programming skills
โ€ข Experience with optimization, simulation, or decision systems
โ€ข Ability to work in complex problem spaces
โ€ข U.S. Citizenship required
โ€ข Bachelorโ€™s or Masterโ€™s degree in Computer Science, Applied Mathematics, Operations Research, Engineering, or a related field
Preferred:
โ€ข Experience with operations research or reinforcement learning
โ€ข Background in decision science or economics
โ€ข Experience with simulation environments
โ€ข Familiarity with geospatial or satellite systems
โ€ข Experience in mission-critical or ITAR environments
Company:
A spatial intelligence firm. Founded in 2025, the company is headquartered in Denver, USA, with a team of 1001-5000 employees. The company is currently Late Stage.