Data Scientist III

University of Florida • Gainesville, FL

8d

About The Position

The Office of Institutional Planning and Research (OIPR) seeks a Data Scientist III to provide technical leadership in applying advanced analytics, statistical modeling, and data science methods to institutional planning and decision-making. The role supports the modernization of analytical capabilities by transforming complex institutional data into scalable solutions and delivering strategic insights to university leadership.

The position designs and implements analytical models, dashboards, automated workflows, and production-grade tools. It leads and contributes to institutional research and strategic planning initiatives, presents findings to stakeholders, directs project priorities, and provides technical guidance and supervision to assigned staff. The expected starting salary is $95,000 annually, commensurate with education and experience.

Requirements

• Bachelor's degree in data science, statistics, bioinformatics, analytics, or a similar field and five years of experience; or master's degree in one of these fields and three years of experience; or doctoral degree in one of these fields and one year of experience.

Nice To Haves

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

Responsibilities

• Design and execute statistical models, predictive forecasts, simulations, and scenario analyses, using machine learning techniques such as classification, clustering, and segmentation to address institutional questions.
• Build interactive dashboards, visualizations, and analytical applications using Python, R, SAS, SQL, Snowflake, and Tableau to make multi-source institutional data accessible to decision-makers.
• Lead and contribute to institutional research initiatives, strategic planning activities, and leadership reporting requests; translate findings into actionable insights and clear stakeholder presentations.
• Identify and implement opportunities to streamline analytical workflows, build automated data pipelines, and transition proof-of-concept solutions into sustainable, production-grade tools.
• Direct data science project priorities and provide technical guidance and supervision to assigned staff.
• Collaborate with IT partners, OIPR analysts, and campus stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior