Build, update, and maintain predictive machine learning models for higher education institutions in collaboration with the Data Curation team
Utilize Python and internal testing frameworks to identify improvements to modeling heuristics, validate outputs, and implement enhancements at scale
Perform client-specific analyses and provide actionable recommendations based on predictive results
Translate technical findings into clear, meaningful insights for stakeholders (both written and verbally)
Requirements
Bachelor’s degree in math, computer science, business analytics and information systems or another relevant field required (advanced degree preferred).
Proficiency in Python for data analysis, machine learning, and feature engineering
Experience with a variety of machine learning algorithms and model evaluation techniques
Familiarity with version control (Git/GitHub) and collaborative coding practices
Ability to translate technical findings into client-friendly insights both verbally and in writing
Capacity to manage multiple projects or tasks at once including setting and communicating appropriate timelines, prioritization, and risk or updates throughout the life of the project.
Benefits
Health insurance
Professional development opportunities
Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.