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Contractual Computer Science Statistics Jobs in Florida

Computer Science, Agricultural Sciences, Physical/Mathematical Sciences Department: 60220000 - AG-STATISTICS Classification Title: Data Scientist I Classification Minimum Requirements A Bachelor ...

$76K/yr

Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have ...

$76K/yr

Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have ...

$76K/yr

Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have ...

$76K/yr

Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have ...

Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in ...

Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in ...

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Contractual Computer Science Statistics information

Is it hard to get a job with a data science and statistics degree?

Contractual computer science statistics roles often require strong analytical skills, proficiency in programming languages like Python or R, and knowledge of statistical tools. While competition can be high, relevant experience, certifications, and a solid understanding of data analysis increase job prospects in this field.

Which CS job has the highest salary?

In the field of computer science, roles such as machine learning engineer, data scientist, and software architect tend to have the highest salaries. These positions often require advanced skills in programming, data analysis, and system design, and they are typically found in industries like technology, finance, and consulting.

What is the difference between Contractual Computer Science Statistics vs Data Analyst?

AspectContractual Computer Science StatisticsData Analyst
Required CredentialsBachelor's or higher in Computer Science, Statistics, or related fields; certifications like SAS, R, or PythonBachelor's in Statistics, Data Science, or related fields; certifications like Excel, SQL, or Tableau
Work EnvironmentProject-based, often contract roles in tech, finance, or research sectorsOffice or remote, analyzing data to inform business decisions across industries
Employer & Industry UsageTech companies, research institutions, consulting firmsBusiness, healthcare, marketing, finance

Contractual Computer Science Statistics professionals focus on applying statistical methods within computer science projects, often on a contractual basis, while Data Analysts interpret data to support business strategies. Both roles require similar technical skills but differ in scope and industry application.

Is statistics and computer science a good combination?

For a Contractual Computer Science Statistics role, combining statistics and computer science is highly valuable, as it enables data analysis, machine learning, and algorithm development. Skills in programming languages like Python or R and understanding of data structures are essential in this field. This combination enhances problem-solving capabilities and job prospects in data-driven environments.

What is the highest paying job with a statistics degree?

The highest paying jobs with a statistics degree often include roles such as data scientist, quantitative analyst, or actuarial scientist, with salaries exceeding $100,000 annually. These positions typically require strong analytical skills, proficiency in programming languages like Python or R, and advanced knowledge of statistical methods and machine learning.
What are popular job titles related to Contractual Computer Science Statistics jobs in Florida? For Contractual Computer Science Statistics jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Contractual Computer Science Statistics jobs in Florida look for? The top searched job categories for Contractual Computer Science Statistics jobs in Florida are:
What cities in Florida are hiring for Contractual Computer Science Statistics jobs? Cities in Florida with the most Contractual Computer Science Statistics job openings:
Data Scientist I

Data Scientist I

University of Florida

Gainesville, FL • On-site

$61K/yr

Full-time

Posted 6 days ago


University Of Florida rating

7.2

Company rating: 7.2 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

345th of 555 rated colleges and universities


Job description

Data Scientist I
Job no: 540546
Work type: Staff Full-Time
Location: Main Campus (Gainesville, FL)
Categories: Computer Science, Agricultural Sciences, Physical/Mathematical Sciences
Department:60220000 - AG-STATISTICS
Classification Title:
Data Scientist I
Classification Minimum Requirements
A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and two years of experience; Master's Degree in data science, statistics, bioinformatics, analytics, or similar field.
Job Description:
Statistical consulting with faculty, staff, and graduate students on applied research projects in agriculture, natural resources, and life sciences. Consulting activities include helping researchers define research questions, select appropriate statistical methods, evaluate experimental designs and sampling strategies, organize data for analysis, and interpret statistical results. Topics may include experimental design, ANOVA, regression, linear and generalized linear models, mixed models, repeated measures, multivariate analysis, and other applied statistical methods relevant to IFAS research.
Conducting reproducible statistical analyses using appropriate statistical software, primarily R and/or Python, and additional tools such as SAS, JMP, Stata, or SPSS as needed. Duties include data cleaning, exploratory data analysis, model fitting, model diagnostics, summarizing results, preparing analysis outputs, producing graphical representations of results, and explaining analytical approaches to researchers. The position may also use high-performance computing resources when appropriate for statistical or data-intensive analyses.
Assisting researchers with the preparation of publication-ready tables, figures, statistical summaries, methods descriptions, reports, abstracts, manuscripts, grant-related materials, and other research outputs. This includes helping ensure that statistical results are presented accurately, clearly, and in a format appropriate for scientific communication.
Supporting the development of statistical workflows, reproducible analysis scripts, and training materials for common consulting needs. This may include researching and evaluating R packages, Python tools, SAS procedures, Shiny applications, Google Colab notebooks, Jupyter notebooks, or other resources that may benefit IFAS researchers. These tools should support statistical analysis, teaching, consulting efficiency, or reproducible research rather than general software development.
Assisting with teaching, workshops, short courses, handouts, tutorials, and practical training activities related to applied statistics, experimental design, data analysis, data visualization, and reproducible workflows for faculty, staff, and students.
Contributing to the development and maintenance of online resources for the Statistical and Data Analytics Consulting Unit, including frequently asked statistical questions, example workflows, training materials, and guidance documents for common research design and data analysis issues.
Expected Salary:
$61,000 annually
Required Qualifications:
A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and two years of experience; Master's Degree in data science, statistics, bioinformatics, analytics, or similar field.
Preferred
  • Master's degree in applied statistics, statistics, biostatistics, agricultural statistics, quantitative ecology, data science with strong applied statistical training, or a closely related quantitative field relevant to agriculture, natural resources, or life sciences.
  • At least two years of experience applying statistical methods to real research data, preferably in an academic, research, consulting, or graduate statistical consulting environment. Experience with applied statistical analysis, experimental design, regression, ANOVA, linear models, generalized linear models, mixed models, and/or repeated-measures analysis.
  • Proficiency in R and/or Python for statistical analysis and reproducible workflows.
    Ability to communicate statistical concepts, analytical results, and data limitations clearly to researchers from non-statistical backgrounds.
  • Experience working with agricultural, biological, environmental, natural resources, plant science, animal science, ecological, or related applied research data is strongly preferred.
  • This position is intended for candidates with strong applied statistical training and interest in research consulting. Applicants whose experience is primarily software engineering, computer science, database administration, or machine-learning model development without substantial applied statistical experience may not be the best fit for this role.
  • Strong communication and interpersonal skills, with demonstrated ability to work effectively in collaborative, interdisciplinary academic or research environments.
  • Demonstrated experience providing statistical support or consulting to researchers, including helping define research questions, selecting appropriate methods, explaining statistical assumptions, and interpreting results.
  • Advanced experience with applied statistical methods such as linear mixed models, generalized linear mixed models, Bayesian analysis, experimental design, repeated measures, longitudinal data analysis, multivariate analysis, spatial analysis, or other methods relevant to agricultural and life-science research.
  • Experience with statistical software such as R, SAS, JMP, Stata, SPSS, or Python, with strong preference for candidates who can develop clear, reproducible, and well-documented analysis scripts.
    Experience preparing statistical methods sections, publication-ready tables and figures, technical reports, manuscripts, or grant-related statistical summaries.
  • Experience developing or delivering workshops, tutorials, training sessions, handouts, or open-source educational materials related to applied statistics, reproducible research, or data analysis.
  • Experience with applied machine learning, artificial intelligence, deep learning, or data science methods is desirable when used to address agricultural, natural resources, biological, or life-science research questions. However, these methods are considered complementary to the core statistical consulting responsibilities of the position.

Special Instructions to Applicants:
In order to be considered, you must upload your cover letter and resume.
Application must be submitted by 11:55 p.m. (ET) of the posting end date.
Health Assessment Required:No
Advertised: 11 Jul 2026 Eastern Daylight Time
Applications close: 01 Aug 2026 Eastern Daylight Time
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About University of Florida

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The University of Florida is one of the top ranked public universities in the United States (ranked top 5 amongst public universities in 2023 US news and world report). It is one of only a few comprehensive universities, having medical, veterinary, dental, nursing, public health, and engineering disciplines all co-localized on the same, contiguous campus to facilitate interdisciplinary collaboration. Gainesville is located in the northern region of Florida, within 1-1.5 hours of each coast, and just 1.5-2 hours to Orlando and Tampa. It is a small to medium-sized city with a low cost of living, excellent public and private schools, and southern hospitality. While Gainesville is widely recognized as the home of the Gators, it is quickly becoming known as a center for innovation and a place with a lifestyle that's comfortable for families, yet attractive for young professionals.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Gainesville, FL, US

Year founded

1853