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# Data Scientist III

- **Company:** University of Florida
- **Location:** Gainesville, FL, United States
- **Salary:** $95,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Data Analysis, Big Data, Bioinformatics, Cloud Computing, Computer Programming, Data Infrastructure, Data Systems, Data Visualization, Decision Support Systems, R (Programming Language), Python (Programming Language), Machine Learning, Power BI, SAS (Software), SQL Databases, Tableau (Software), Snowflake, People Soft, Data Analytics, Text Analysis, Software Version Control, Data Pipelines, Workday, Software Library
- **Published:** November 6, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist-iii-gainesville-fl--1ca7bbf2-e939-4804-b51b-123712c50b34

## About the Role

Data Science, Predictive Modeling, Analysis Skills, Technical Leadership, Machine Learning, Data Science, Workflow Analysis, Decision Support, Bioinformatics, Statistics, 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., 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.

## 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., * 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.