Data Scientist III

Job no: 541844

Work type: Staff Full-Time

Location: Main Campus (Gainesville, FL)

Categories: Computer Science, Grant or Research Administration

Department:02050000 - PV-INSTITUTIONAL RESEARCH

Classification Title:

Data Scientist III

Classification Minimum Requirements:

A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and five years of experience; Master's Degree in data science, statistics, bioinformatics, analytics, or similar field and three years of experience; Doctoral Degree in data science, statistics, bioinformatics, analytics, or similar field and one year of experience.

Job Description

The Office of Institutional Planning and Research (OIPR) is seeking a Data Scientist III to serve as a technical leader in applying advanced analytics, statistical modeling, and data science methodologies to institutional planning and decision-making.

This role plays a key part in modernizing our analytical capabilities, transforming complex institutional data into scalable solutions, and providing strategic insights to university leadership.

Key Responsibilities:

• Advanced Modeling & Predictive Analytics: Design and execute statistical models, predictive forecasts, simulations, and scenario analyses using machine learning techniques such as classification, clustering, and segmentation to address complex institutional questions.
• Data Solutions & Visualization: Build interactive dashboards, data visualizations, and analytical applications using Python, R, SAS, SQL, Snowflake, and Tableau to make multi-source institutional data accessible to decision-makers.
• Institutional Research & Strategic Support: Lead and contribute to institutional research initiatives, strategic planning activities, and leadership reporting requests by translating findings into actionable insights and clear stakeholder presentations.
• Modernization & Process Automation: Identify and implement opportunities to streamline analytical workflows, build automated data pipelines, and transition proof-of-concept solutions into sustainable, production-grade tools.
• Technical Leadership & Collaboration: Direct data science project priorities, provide technical guidance and supervision to assigned staff, and collaborate closely with IT partners, OIPR analysts, and campus stakeholders.

Expected Salary

Expected starting salary is $95,000 annually; commensurate with education and experience.

Required Qualifications

A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and five years of experience; Master's Degree in data science, statistics, bioinformatics, analytics, or similar field and three years of experience; Doctoral Degree in data science, statistics, bioinformatics, analytics, or similar field and one year of experience.

Preferred:

• Advanced Analytical Expertise: Proven experience applying advanced analytical and statistical methods, such as predictive modeling, forecasting, simulation, scenario analysis, classification, clustering, segmentation, and natural language/text analytics, to complex data.
• Programming & Data Proficiency: Strong expertise in Python, R, SAS, and SQL, with a demonstrated ability to work with large, complex datasets sourced from multiple environments.
• Modern Data Platforms: Hands-on experience with modern data platforms, cloud technologies, Snowflake, APIs, version control systems, and machine learning libraries/frameworks.
• Data Visualization & BI: Demonstrated experience creating interactive dashboards, visualizations, and analytical products using Tableau, Power BI, or comparable business intelligence tools.
• Workflow Automation: Experience designing reusable analytical pipelines, automated processes, and scalable solutions that improve the consistency and sustainability of reporting operations.
• Domain & Enterprise Experience: Background in higher education research, institutional research, or education policy within a complex organizational setting, including familiarity with enterprise administrative systems like PeopleSoft or Workday.
• Leadership & Collaboration: Experience providing technical leadership, project direction, mentoring, or supervision to technical staff, alongside strong communication skills to translate complex analytical findings for diverse audiences.

Special Instructions to Applicants

In order to be considered, applicants must upload a cover letter, resume and a list of professional references.

Application must be submitted by 11:55 p.m. (ET) of the posting end date.

Health Assessment Required

No

Advertised: 28 Oct 2026 Eastern Daylight Time

Applications close: 18 Nov 2026 Eastern Standard Time