Manager, Data Science

University of DelawareNewark, DE
Hybrid

About The Position

Under the direction of the Senior Director of Institutional Research and Data Science, the Manager supports the development and implementation of a campus-wide data science program directed at meeting the management and information needs of academic and administrative units across campus.

Requirements

  • Bachelor’s degree in Statistics, Data Science, Information Technology, or a related field
  • 5 years of experience with data governance in a higher education context
  • Experience working with Tableau
  • Experience working with SQL
  • Experience working with IPEDS/Common Data Set Standards
  • Experience working with Amazon Redshift
  • Experience working with Oracle PeopleSoft

Responsibilities

  • Supervise a team, oversee work plans and assign tasks to Analysts regarding the development of data tables and statistical models, and perform detailed code reviews of SQL and data workflows authored by data scientists
  • Serve as the institution’s expert for statistical modeling (including Bayesian, frequentist, data mining, artificial intelligence, and machine learning), and design, develop, and validate predictive statistical models, specifically for student enrollment management and institutional forecasting
  • Design, implement, and evaluate scalable data models using SQL on Amazon Redshift, and collaborate with Data Engineering and ETL teams to modernize the enterprise data reporting platform
  • Act as the lead person in developing analysis supporting University business practices, build novel data views to facilitate measurement of institutional progress, and meet with functional users (Deans, Directors, Officers) to determine business practices that drive standard production reports
  • Oversee the integration of data from external national databases (IPEDS, Common Data Set) and internal systems (Student, Finance, HR), and ensure data accuracy and consistency with production systems
  • Contribute to Tableau dashboard development for internal and external reporting and provide accurate data sources to assist the Institutional Research team in developing standard reports
  • Respond to complex ad hoc requests for information from senior academic administrators and faculty; provide user assistance and maintain technical documentation
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