Who We Are

Work is changing. The economy is rapidly transforming. We’re innovating education and transforming learning to help people prepare for the workforce - today and in the future. Our goal is to transform higher education and create as much economic mobility for our students as possible.

Transforming higher education requires talented people.

Come and Make a Difference with Us

In Advanced Analytics at Strategic Education, you will be an integral member of a team that champions data-driven approach across strategic decisions and operational execution in a transformational way.

As Data Scientist in Advanced Analytics, you will have the opportunity to:

Scale positive business results through the use of big data, ML modeling, ad hoc analysis, and proactive consulting
Improve operational productivity and efficiency
Support academic success for our students through the applied use of advanced analytics, and help to identify, pilot and test initiatives for students and faculty that drive improved academic outcomes and achievements
Help educate business partners on new capabilities and identify insights to improve business results
Cultivate strong business partnerships through understanding of business priorities and objectives and proactive consultation

What You’ll Do

Assemble, analyze, and interpret large data collected from multiple sources including phone calls, website, email, and surveys
Build Machine Learning (ML) models leveraging the latest algorithms in Google Cloud Platform to predict conversion likelihood, faculty performance, student/learner success and/or persistence
Develop new KPIs and support the business in tracking them by creating Power BI reports.
Develop Natural Language Processing (NLP) models to evaluate student readiness, conduct sentiment analyses to better understand student/learner’s delights and pain points
Identify opportunities across the organization and leverage predictive analytics to optimize business performance and reduce inefficiencies
Communicate model results, analysis outcomes and implications in a variety of formats (e.g., Power BI dashboards, Excel spreadsheet, Power Point presentations) and to different audience within SEI

Who You Are

Proficient in SQL and at least one of the following programming language (Python or R)
Familiarity with Large Language Models (LLMs) and their applications in business processes and decision-making is preferred.
From a regionally accredited institution; Bachelor's degree in Data Science, Statistics, Applied Mathematics or Econometrics required; Masters and above preferred
1-2 years’ hands-on experience developing predictive models and conducting statistical analyses.
Knowledge of machine learning is required
Creative thinker and problem-solver who can effectively collaborate across teams and functions.
Ability to summarize and present information that provides insights and interest

How You’ll Feel

Being a member of Strategic Education, you will have ample opportunity to

Learn: have access to a wealth of learning resources including our own online universities
Grow: multiple and flexible career development paths are clearly defined
Be part of diverse community: SEI values diversity, equality and inclusion
Give back: SEI is consciously making positive changes locally and globally through volunteerism and giving back
SEI is an Equal Opportunity employer committed to a diverse and inclusive community. We welcome applications from all. While it is not typical for an individual to be hired at or near the top end of the pay range at SEI, we offer a competitive salary and benefits package. The actual base pay offered to the successful candidate may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal pay equity. Our Talent Acquisition Team is ready to discuss your interest in joining SEI. The expected salary range for this position is below.

$73,900.00 - $110,900.00 - Salary

If you require reasonable accommodations to complete our application process, please contact our Human Resources Department at Careers@strategiced.com.