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Data Scientist III

Pay
From $95,000/year — pay source
Expected Salary: Expected starting salary is $95,000 annually; commensurate with education and experience. Required Qualifications:
Read the full posting
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Design statistical models, forecasts and scenario analyses using machine learning

  • Build dashboards and analytical applications in Python, R, SAS, SQL, Snowflake and Tableau

  • Lead institutional research initiatives and present findings to leadership

  • Build automated data pipelines and move proof-of-concept tools into production

  • Direct data science project priorities and supervise assigned staff

From the employer’s posting
Design and execute statistical models, predictive forecasts, simulations, and scenario analyses using machine learning techniques
Build interactive dashboards, data visualizations, and analytical applications using Python, R, SAS, SQL, Snowflake, and Tableau
Lead and contribute to institutional research initiatives, strategic planning activities, and leadership reporting requests
build automated data pipelines, and transition proof-of-concept solutions into sustainable, production-grade tools
Direct data science project priorities, provide technical guidance and supervision to assigned staff

What you’ll bring

All qualifications

Core experience

  • 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.
Qualification wording
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.
Education & alternatives
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:
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:
Apply at University of Florida

Posting record

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Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 29, 20267 days ago
Recorded sightings
49
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Lower than most similar jobs

$95K against $118K–$193K, the middle half of what similar US postings state.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 7

Similar jobs usually come down between day 7 and day 56.

From 10,198 similar postings that came down. Coming down is not always a hire.

University of Florida is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SAS
  • SQL
  • Power BI
  • Snowflake
  • Tableau
Where the posting names them
- 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.
- 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.
- 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.
- 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.

Your next step

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,826.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Data Scientist III

Apply now 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

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Pay
Expected Salary: Expected starting salary is $95,000 annually; commensurate with education and experience. Required Qualifications:
Location & working pattern

Main Campus (Gainesville, FL)

Working pattern and location restrictions need checking in the full posting.

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