Data Scientist II - Outreach Analytics

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 408

Pay Range: $116,000.00 - $174,100.00

Job Description

What if your advanced analytics helped more people access a college education?

At WGU, we use data science to drive access, equity, and innovation. As a Data Scientist II on the Outreach Analytics team, you’ll lead complex analytics and modeling efforts that shape how thousands of students discover, choose, and succeed at WGU.

The Institutional Analytics and Research (IAR) team supports and enables most university teams, departments, and colleges to make data-informed decisions that lead to better student outcomes. Our analysts, scientists, researchers, and managers are distributed across several teams: Institutional Research, Institutional Metrics & Insights, Outreach Analytics, Faculty Analytics, Curriculum Analytics, and Student Success Analytics.

The Outreach Analytics team works at the intersection of marketing, enrollment, and regional operations—turning customer journey data into actionable insights and predictive models that drive strategy and impact.

The Role: Data Scientist II – Outreach Analytics

As a Data Scientist II, you will produce valuable information from very large sets of structured, semi-structured, and unstructured data. You’ll lead the development of statistical and predictive models, apply advanced machine learning, and collaborate across teams to deliver insights that inform key decisions and improve student engagement.

What You’ll Do

• Lead advanced analytics and modeling on large, diverse data sets
• Apply machine learning, NLP, and statistical techniques to solve business challenges
• Build and maintain dashboards and visualizations in Tableau or Power BI
• Define and promote data quality standards; optimize SQL queries and data pipelines
• Mentor team members and share technical expertise across Outreach Analytics
• Interface with stakeholders to identify requirements, clarify priorities, set expectations, and present results.

What You Bring

• Bachelor’s degree in a related discipline
• 5 years of experience delivering data science solutions and analytical models
• Advance experience building predictive models using machine learning methods. 
• Advanced proficiency with SQL (writing queries and subqueries, modifying data (INSERT, UPDATE, DELETE), creating views, and knowledge of the different join types, filtering, sorting, aggregation, window functions, common table expressions (CTE), and performance tuning)
• Experience using Python, R, or Natural Language Processing in an ML environment
• Experience with the selection and deployment of mathematical models, forecasting methods (e.g., time series, inferential, regression), descriptive statistics, and classification algorithms to make predictions and identify relationships based on limited data sets.
• Experience with Tableau or Power BI for data visualization (presenting data and information utilizing charts, graphs, and maps, in ways that make it easy to understand trends, patterns, and outliers)
• Experience working with large, structured, and unstructured data sets (accessing, retrieving, manipulating, inserting, and deleting data)

Bonus if you have

• Experience in higher education, marketing analytics, or learner success analytics
• Experience with A/B testing and advanced statistical methods
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