Wgu
Decision Scientist
Raleigh, NC · Full-time
Sponsorship not specified$119k-$179kDetected 5 days ago
PythonGitAWSGCPAzureCloud PlatformsCI/CDMachine LearningTensorFlowPyTorchscikit-learnData EngineeringData ScienceMLOpsStatisticsA/B TestingStakeholder ManagementCommunicationCollaboration
About the role
- 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.
- 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.
- Additional Information: This position is based in the Raleigh office, 5 days a week.
Responsibilities
- Build Intelligent Decision Systems
- Develop decision frameworks that incorporate inputs, alternatives, outcomes, and continuous feedback loops.
- Partner Across the Organization
- Collaborate with business stakeholders to understand critical decisions, success measures, and desired outcomes.
- Implement model monitoring processes to detect performance degradation, data drift, and operational issues.
- Maintain high standards for model reliability, scalability, and production readiness.
- 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.
Requirements
- experience and training
- 5+ years of experience in data science, advanced analytics, decision intelligence, or a related field.
- All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.
- Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Behavioral Sciences, Mathematics, or a related quantitative discipline.
- Partner closely with Data Engineering teams to build and maintain the data pipelines and workflows required to support production-ready models.
Nice to have
- Master's degree preferred.
Compensation
- $118,900.00 - $178,500.00
Benefits
- 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.
- Operationalize and Scale Machine Learning
- Deploy, monitor, retrain, and optimize machine learning models using modern MLOps best practices.
Company info
- Additional travel may include conferences, visits to company locations, and other business-related events as needed.
Equal opportunity
- 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.
- Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.
This listing is sourced directly from Wgu's careers page and normalized into a canonical job model.