Data Scientist, Advanced Analytics

• 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

• 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

• 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

• 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