remote
Enrollment Data Scientist - Carnegie Dartlet
Data Scientist
Data scientist focused on higher education, building predictive models to drive enrollment and retention, ensuring data quality, and collaborating with institutional leaders to meet enrollment targets using Python, SQL, and advanced analytics.
About the role
Key Responsibilities
- Design and deploy predictive models to forecast student application, enrollment, and retention outcomes.
- Clean, transform, and validate large educational datasets, maintaining rigorous data quality standards.
- Collaborate with enrollment and financial aid leaders to translate analytical insights into actionable strategies.
- Present findings to stakeholders, translating complex models into clear, business‑relevant recommendations.
- Iterate on models and data pipelines based on client feedback and evolving institutional goals.
Requirements
- Proficiency in Python and SQL for data manipulation and model development.
- Experience with machine learning libraries (scikit‑learn, XGBoost, etc.) and model evaluation techniques.
- Strong background in data quality, ETL processes, and statistical analysis.
- Excellent communication skills and ability to work collaboratively with higher education professionals.
- Familiarity with higher education metrics and enrollment analytics is a plus.
Skills
pythonsqlmachine learningdata analysis