Data Scientist III - 527106

Alabama, Tuscaloosa

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University of Alabama

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Pay Grade/Pay Range:  Minimum: $74,200 - Midpoint: $100,200 (Salaried E12)

Department/Organization: 206205 - Business Analytics Institute

Normal Work Schedule: Monday - Friday 8:00am to 5:00pm

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.

Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background investigation and information obtained from social media and other internet sources. A prior conviction reported as a result of the background investigation DOES NOT automatically disqualify a candidate from consideration for this position. A candidate with a prior conviction or negative behavioral red flags will receive an individualized review of the prior conviction or negative behavioral red flags before a hiring decision is made.

Equal Employment Opportunity: The University of Alabama is an Equal Employment/Equal Educational Opportunity Institution. All qualified applicants will receive consideration for employment or volunteer status without regard to any legally protected basis and will not be discriminated against because of their protected status. Applicants and employees of this institution are protected under Federal law from discrimination on several bases. More information is available in the EEOC’s Know Your Rights: Workplace discrimination is illegal poster.

 

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Category: Data Science Jobs

Tags: Biostatistics Business Analytics Data analysis Data management Data visualization Machine Learning Mathematics Python R Research SAS Statistical modeling Statistics

Region: North America
Country: United States

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