Decision Scientist

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 - $178,500.00Job DescriptionThe 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 SystemsDesign, 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 OrganizationCollaborate with business stakeholders to understand critical decisions, success measures, and desired outcomes.Partner closely with Data Engineering teams to build and maintain ...