Data Scientist - Curriculum Analytics
Data Scientist - Curriculum Analytics
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$ 95900 - 143800
1 Vacancy
Job Description
If youre passionate about building a better future for individuals communities and our countryand youre committed to working hard to play your part in building that futureconsider 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:
Job Description
Can your code help students graduate
At WGU we believe it can. As a Data Scientist on our Curriculum Analytics team youll apply your technical skills to a mission that matters: making higher education more accessible equitable and effective. Youll design models and tools that optimize curriculum personalize learning pathways and improve outcomes for learners nationwideat a scale few organizations can match.
Why WGU
WGU is a nonprofit accredited university serving over 190000 students through a fully online learning model. But behind the scenes our teams work together in person to turn data into decisions that change lives.
About the Curriculum Analytics team:
We use WGUs rich data ecosystem to build dashboards predictive models and AI-driven student guidance tools. Our work directly informs course design performance monitoring and student success strategies. We value curiosity transparency and purposeand we turn data into decisions that help real students succeed.
What youll do:
Build predictive models using Python or R applying machine learning NLP and advanced statistical techniques.
Analyze course-level performance and identify key trends and equity gaps.
Collaborate across engineering product and program development teams to design data-powered curriculum improvements.
Communicate findings clearly with technical and non-technical stakeholders.
Contribute to data pipeline development and documentation efforts alongside Data Engineering.
What you bring:
Bachelors degree in a related field
3 years of experience building predictive models using machine learning methods.
Proficiency in Python or R and working with large structured and unstructured datasets.
A strong sense of ownership a learners mindset and the ability to connect data with decision-making.
Clear communication and data storytelling skills.
Bonus points if you have:
Experience with NLP techniques in educational or social science applications.
Familiarity with GitHub CI/CD pipelines and MLOps best practices.
Work Location:
- This is a full-time in-office position at WGUs headquarters in Salt Lake City UT. Youll work side-by-side with a multidisciplinary team of analysts researchers and educators committed to data-informed innovation.
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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. Its 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
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.
Employment Type
Full-Time
