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Decision Engineer Jobs in Raleigh, NC (NOW HIRING)

Western Governors University

Decision Scientist

Raleigh, NC · On-site +1

$118K - $178K/yr

This role blends expertise in data science, behavioral/decision science, and data engineering to design, build, monitor, and continuously improve models within the decision intelligence system that ...

Western Governors University

Decision Scientist

Raleigh, NC · On-site

$118K - $178K/yr

This role blends expertise in data science, behavioral/decision science, and data engineering to design, build, monitor, and continuously improve models within the decision intelligence system that ...

Truist

Decision Scientist III

Raleigh, NC · On-site

$104K - $130K/yr

... Engineering 3. 2+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results 4. Must act as role model, able to perform in a cross ...

Vulcan Elements

Sr. SCADA/HMI Platform Engineer

Benson, NC

$84K - $116K/yr

As the SCADA/HMI Platform Engineer you will technically lead the selection of the SCADA, historian ... Platform evaluation decision record, tag/UDT standard, alarm philosophy, HMI style guide, tag ...

Three Point Solutions

Embedded Software Engineer

Cary, NC · On-site

$60 - $64/hr

Analyze data and support engineering decision-making * Troubleshoot and improve software/system performance * Work on small to mid-scale engineering projects * Ensure compliance with engineering ...

Fortinet, Inc.

Sales Engineer, Enterprise

Raleigh, NC · On-site

We are seeking a Sales Engineer to partner with a Named Account Manager in a defined territory ... Deliver impactful presentations and demos to both technical stakeholders and executive decision ...

Fortinet

Sales Engineer, Enterprise

Raleigh, NC

We are seeking a Sales Engineer to partner with a Named Account Manager in a defined territory ... Deliver impactful presentations and demos to both technical stakeholders and executive decision ...

First Citizens Bank

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision ...

First Citizens Bank

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision ...

First Citizens Bank

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision ...

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All JobsDecision Engineer JobsDecision Engineer Jobs in Raleigh, NC

Decision Engineer information

See Raleigh, NC salary details

$35.5K

$104.3K

$133.7K

How much do decision engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for decision engineer in Raleigh, NC is $104,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $132,200.00 per year, depending on experience, location, and employer.

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 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.

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 are popular job titles related to Decision Engineer jobs in Raleigh, NC? For Decision Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Decision Engineer jobs in Raleigh, NC look for? The top searched job categories for Decision Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Decision Engineer jobs? Cities near Raleigh, NC with the most Decision Engineer job openings:
Decision Engineer jobs near you

Decision Scientist

Western Governors University

Raleigh, NC • On-site, Remote

$118K - $178K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

Western Governors University rating

8.5

Company rating: 8.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

80th of 616 rated colleges and universities

Job description

If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:

Grade: Technical 408Pay Range: $118,900.00 - $178,500.00

Job Description

The Decision Scientist has a key role within the Experiential Product team and is responsible for developing decision models that support student experiences throughout the lifecycle. This role blends expertise in data science, behavioral/decision science, and data engineering to design, build, monitor, and continuously improve models within the decision intelligence system that trigger recommendations to students, staff, or faculty to drive actions that improve student success. The Decision Scientist collaborates closely with the decision intelligence product lead, technology lead, business SMEs, software and data engineering, ML Ops, and technology architects to build decision products that support personalized student progress and completion, drive automated solutions for operational efficiency and scale, and ensure that decisions are data-informed, equitable, and actionable.
What You'll DoBuild Intelligent Decision Systems
  • Design, develop, and deploy machine learning models that support key decision points throughout the student lifecycle.
  • Translate business goals, behavioral objectives, and operational requirements into scalable analytical and machine learning solutions.
  • Develop decision frameworks that incorporate inputs, alternatives, outcomes, and continuous feedback loops.
  • Apply advanced analytics, experimentation, and causal inference techniques to identify opportunities that improve student experiences and outcomes.
Partner Across the Organization
  • Collaborate with business stakeholders to understand critical decisions, success measures, and desired outcomes.
  • Partner closely with Data Engineering teams to build and maintain the data pipelines and workflows required to support production-ready models.
  • Communicate findings, recommendations, and model performance to both technical and non-technical audiences.
Operationalize and Scale Machine Learning
  • Deploy, monitor, retrain, and optimize machine learning models using modern MLOps best practices.
  • Ensure data inputs, outputs, and model dependencies are properly governed, monitored, and maintained.
  • Implement model monitoring processes to detect performance degradation, data drift, and operational issues.
  • Maintain high standards for model reliability, scalability, and production readiness.
Drive Transparency and Responsible AI
  • Create dashboards, reporting tools, and visualizations that make complex insights accessible and actionable.
  • Document model assumptions, methodologies, data dependencies, and feedback mechanisms to support transparency and reproducibility.
  • Ensure models are interpretable, auditable, and aligned with institutional commitments to fairness, accountability, and ethical use of AI.
Additional Responsibilities
  • Perform other duties as assigned.
What You'll BringRequired Knowledge, Skills, and Abilities
  • Strong expertise in machine learning, statistical modeling, and predictive analytics, including supervised and unsupervised learning techniques.
  • Experience selecting, evaluating, and optimizing machine learning models to solve real-world business problems.
  • Knowledge of modern MLOps practices, including model deployment, monitoring, retraining, CI/CD pipelines, and drift detection.
  • Experience developing and supporting data pipelines, including data ingestion, transformation, orchestration, and workflow automation.
  • Ability to model complex decision processes and connect decision outcomes to measurable business objectives.
  • Experience incorporating behavioral, operational, or customer-focused signals into analytical frameworks.
  • Proficiency in Python or R and hands-on experience with machine learning frameworks such as:
    • Scikit-learn
    • TensorFlow
    • PyTorch
  • Experience deploying machine learning solutions in cloud environments such as AWS, Azure, or Google Cloud Platform.
  • Proficiency with Git, GitHub, and collaborative software development practices.
  • Excellent communication, collaboration, and stakeholder management skills.
  • Experience in higher education, student success, healthcare, or another mission-driven environment is preferred.
Education
  • Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Behavioral Sciences, Mathematics, or a related quantitative discipline.
  • Master's degree preferred.
  • Experience in lieu of education:
    Equivalent relevant experience performing the essential functions of this job may substitute for education degree requirements. Generally, equivalent relevant experience is defined as 1 year of experience for 1 year of education and is at the discretion of the hiring manager.
Experience
  • 5+ years of experience in data science, advanced analytics, decision intelligence, or a related field.
  • 2+ years of experience designing, deploying, and maintaining machine learning solutions in production environments.
  • Experience building and supporting data pipelines and operational workflows that enable scalable analytics and machine learning capabilities.
  • Demonstrated success developing decision models, analytical frameworks, or predictive systems that influence human behavior, business outcomes, or customer experiences.


Additional Information:
This position is based in the Raleigh office, 5 days a week.
This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements.
#LI-JW1

Position & Application Details

Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.

How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.

Additional Information

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive.

Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.

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