"Data Scientist III - 527106"

Job Summary

The Data Scientist III oversees data management and integration efforts across the university, state, and federal agencies. Develops processes to extract, transform, and load data into common data repositories. Coordinates creating new databases, performing database backups and restores, user maintenance, and ensuring database performance. Provides guidance, training, and/or oversight of other Data Scientists.

Additional Department Summary

The Culverhouse College of Business at The University of Alabama is seeking a Research Data Scientist to join the Institute of Data and Analytics (IDA). The Data Scientist III will lead and support advanced data analysis efforts across multiple IDA projects, with emphasis on statistical modeling, machine learning, and effective communication of results. This individual will collaborate on high-impact research initiatives such as the Drug Data Research Center (DDRC) and projects involving Alabama Medicaid, as well as interdisciplinary efforts in grant writing, manuscript development, and cross-campus collaborations. The role also includes mentoring students in analytical methods and software applications.

Required Minimum Qualifications

Bachelor's degree and four (4) years of data science or analytics experience; OR master's degree and two (2) years of data science or analytics experience.

Skills and Knowledge

Proficiency in statistical methods such as regression, longitudinal data analysis, and machine learning. Experience working with large data sets and data management tools. Proficiency in Python required, with additional experience in statistical programming languages such as SAS or R preferred. Familiarity with data visualization and dashboarding tools is a plus. Demonstrated ability to contribute to academic research through peer-reviewed publications. Experience mentoring students or junior analysts in research settings. Experience contributing to grant proposals and research manuscripts is strongly preferred.

Preferred Qualifications

Master’s degree in Statistics, Biostatistics, Operations Management, Mathematics, or a closely related field, and at least three (3) years of experience in statistical data analysis and modeling. OR doctoral degree in one of the above fields (preferred). Strong background in applied research in healthcare, public policy, or social sciences. Ability to communicate technical findings to a variety of audiences, including stakeholders without technical backgrounds. Experience in managing complex, multi-stakeholder research projects.