ZipRecruiter

Log In

1

Computer Science Statistics Jobs (NOW HIRING)

University of Florida

Data Scientist I

Gainesville, FL · On-site

$61K/yr

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

VTG

Data Scientist with Security Clearance

Chantilly, VA · On-site

$105K - $215K/yr

Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field * Preferred Qualifications: Experience supporting federal, DoD, or IC programs, Exposure to mission ...

next page

Showing results 1-20

All JobsComputer Science Statistics Jobs

Computer Science Statistics information

See salary details

$37.5K

$122.7K

$196.5K

How much do computer science statistics jobs pay per year?

As of Jul 22, 2026, the average yearly pay for computer science statistics in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the highest paying job with a statistics degree?

Data scientist roles are among the highest paying jobs for individuals with a statistics degree, often offering six-figure salaries. These positions typically require strong analytical skills, proficiency in programming languages like Python or R, and experience with machine learning and data visualization tools.

What is a Computer Science Statistics job?

A Computer Science Statistics job involves applying statistical methods and data analysis techniques to solve problems in computing, artificial intelligence, and software development. Professionals in this field work with large datasets, develop predictive models, and optimize algorithms for machine learning, cybersecurity, and data science applications. They may work in industries such as finance, healthcare, or technology, using statistical reasoning to enhance decision-making and efficiency. Strong programming skills, knowledge of probability theory, and experience with data visualization are typically required.

What jobs do most CS majors get?

Computer Science majors often pursue roles such as software developers, data analysts, systems analysts, cybersecurity specialists, and database administrators. These positions typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL, and often offer entry-level opportunities in tech companies, finance, healthcare, and other industries.

Is computer science dead due to AI?

Computer science remains a vital field for roles involving AI development, data analysis, and software engineering. AI advances create new opportunities for computer scientists to develop algorithms, machine learning models, and innovative technologies, making the discipline more relevant than ever.

Is statistics useful for computer science?

Statistics is highly useful for computer science, especially in data analysis, machine learning, and algorithm development. It provides essential tools for interpreting data, making predictions, and optimizing systems, which are core skills in many computer science roles.

What are the most common projects or tasks for professionals in Computer Science Statistics roles?

Professionals in Computer Science Statistics roles frequently work on projects involving data analysis, predictive modeling, and the development of algorithms to extract insights from large datasets. Their typical responsibilities include cleaning and preparing data, designing and running statistical tests, coding custom analytics solutions, and visualizing results for reports or presentations. Collaboration with teams such as data engineers, software developers, and business analysts is common to ensure that statistical models effectively address real-world business problems. This role offers opportunities to work across diverse industries, allowing for continual learning and skill development.

What are the key skills and qualifications needed to thrive in the Computer Science Statistics position, and why are they important?

To excel in a Computer Science Statistics role, a strong background in both statistical analysis and computer science principles, usually backed by a degree in a related field, is essential. Expertise in programming languages like Python or R, experience with statistical software, and familiarity with databases or machine learning libraries are highly valued. Analytical thinking, attention to detail, and effective communication are key soft skills that differentiate top performers in this position. Mastery of these skills enables professionals to accurately interpret data, develop robust analytical solutions, and clearly convey complex findings to both technical and non-technical stakeholders.

More about Computer Science Statistics jobs
What cities are hiring for Computer Science Statistics jobs? Cities with the most Computer Science Statistics job openings:
What are the most commonly searched types of Computer Science Statistics jobs? The most popular types of Computer Science Statistics jobs are:
What states have the most Computer Science Statistics jobs? States with the most job openings for Computer Science Statistics jobs include:
What job categories do people searching Computer Science Statistics jobs look for? The top searched job categories for Computer Science Statistics jobs are:
Computer Science Statistics jobs near you
Infographic showing various Computer Science Statistics job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist I

Data Scientist I

University of Florida

Gainesville, FL • On-site

$61K/yr

Full-time

Posted 11 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

351st of 560 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
Whatsapp Facebook LinkedIn Email App

What University Of Florida employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

University of Florida logo

About University of Florida

Sourced by ZipRecruiter

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

View All University of Florida Jobs

Apply