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Ecology Data Science Jobs (NOW HIRING)

University of Florida

Data Scientist I

Gainesville, FL · On-site

$61K/yr

Master's degree in applied statistics, statistics, biostatistics, agricultural statistics, quantitative ecology, data science with strong applied statistical training, or a closely related ...

National Park Service

Data Scientist

Homestead, FL · On-site +1

$79K - $103K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... ecologists, hydrologists, modelers and water quality specialists to analyze large scale data ...

Tuskegee University

Experience integrating computational approaches (e.g. data science, machine learning, probability ... ecological or evolutionary research. Preferred Qualifications: * Expertise in marine biology.

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Ecology Data Science information

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$37.5K

$122.7K

$196.5K

How much do ecology data science jobs pay per year?

As of Jul 29, 2026, the average yearly pay for ecology data science 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 does a typical day look like for someone working in Ecology Data Science?

A typical day for an Ecology Data Scientist often involves collecting and cleaning large datasets from field observations or environmental sensors, analyzing complex ecological trends using statistical models, and visualizing findings to inform conservation or policy decisions. You may also collaborate closely with ecologists, field technicians, and GIS specialists to ensure data accuracy and interpretation. Many roles offer a mix of independent analysis and team meetings to discuss project objectives or present research outcomes. This dynamic environment requires adaptability and strong communication skills to contribute effectively to interdisciplinary initiatives.

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

To excel in Ecology Data Science, you should possess a strong background in ecology or environmental science, coupled with expertise in statistics, programming (e.g., R or Python), and data analysis. Familiarity with GIS software, remote sensing tools, and database management systems is routinely required, and certifications in data science or ecological analysis can be advantageous. Outstanding problem-solving, communication, and teamwork skills help professionals interpret results and collaborate with multidisciplinary stakeholders. These combined competencies are crucial for generating actionable insights from ecological data and guiding environmental decision-making.

What is an Ecology Data Science job?

An Ecology Data Science job involves using data analysis, statistical modeling, and programming to study environmental and ecological systems. Professionals in this field collect, process, and interpret large datasets related to biodiversity, climate change, conservation, and ecosystem health. They often work with GIS mapping, machine learning, and predictive models to support ecological research and decision-making. These roles are found in academia, government agencies, non-profits, and private organizations focused on environmental sustainability.

More about Ecology Data Science jobs
What cities are hiring for Ecology Data Science jobs? Cities with the most Ecology Data Science job openings:
What states have the most Ecology Data Science jobs? States with the most job openings for Ecology Data Science jobs include:
What job categories do people searching Ecology Data Science jobs look for? The top searched job categories for Ecology Data Science jobs are:
Ecology Data Science jobs near you
Infographic showing various Ecology Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% 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 18 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

384th of 612 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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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

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