ZipRecruiter

Log In

1

Environmental Data Science Jobs (NOW HIRING)

langan

Environmental Data Analyst

Manhattan, NY · On-site

$65K - $88.50K/yr

Bachelor's degree in environmental science, geology, engineering, data science, computer science, or a related field; * 0-3 years of experience in environmental data management, environmental ...

langan

Environmental Data Analyst

Manhattan, NY

$65K - $88.50K/yr

Bachelor's degree in environmental science, geology, engineering, data science, computer science, or a related field; * 0-3 years of experience in environmental data management, environmental ...

Langan

Environmental Data Analyst

Manhattan, NY · On-site

$65K - $88.50K/yr

Bachelor's degree in environmental science, geology, engineering, data science, computer science, or a related field; * 0-3 years of experience in environmental data management, environmental ...

Haley & Aldrich

Environmental Data Analyst

Provide guidance in value-added ways for our scientists and engineers to leverage data to make ... Required: Proficiency with environmental relational database management systems, including ...

Haley & Aldrich, Inc

Environmental Data Analyst

Provide guidance in value-added ways for our scientists and engineers to leverage data to make ... Required: Proficiency with environmental relational database management systems, including ...

next page

Showing results 1-20

People also search for

All JobsEnvironmental Data Science Jobs

Environmental Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do environmental data science jobs pay per year?

As of Jun 1, 2026, the average yearly pay for environmental 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 are the key skills and qualifications needed to thrive as an Environmental Data Scientist, and why are they important?

To thrive as an Environmental Data Scientist, you need strong quantitative skills, expertise in environmental science, and a relevant degree in data science, statistics, or a related field. Familiarity with data analysis tools such as Python, R, GIS software, and experience with large datasets or machine learning techniques is typical. Exceptional problem-solving abilities, communication skills, and attention to detail set top performers apart in this field. These competencies are crucial for effectively interpreting complex environmental data, informing policy, and driving impactful sustainability initiatives.

What are some common challenges faced by environmental data scientists when working with real-world datasets?

Environmental data scientists often encounter challenges such as incomplete or inconsistent data, varying data formats, and the need to integrate information from multiple sources like sensors, satellites, and field observations. Addressing missing values, data quality issues, and ensuring proper geospatial alignment can be time-consuming but is essential for producing reliable analyses. Collaboration with domain experts and stakeholders is frequently required to interpret findings and ensure that the results are actionable for environmental policy or management decisions.

What is Environmental Data Science?

Environmental Data Science is an interdisciplinary field that uses statistical, computational, and analytical techniques to collect, analyze, and interpret large sets of data related to the environment. Professionals in this field work on issues like climate change, pollution, biodiversity, and natural resource management by extracting meaningful insights from complex environmental datasets. Their work supports decision-making for policy, conservation, and sustainability initiatives. Environmental data scientists often collaborate with ecologists, geographers, and policymakers to address environmental challenges using data-driven approaches.

What is the difference between Environmental Data Science vs Environmental Data Analyst?

AspectEnvironmental Data ScienceEnvironmental Data Analyst
Required CredentialsTypically requires a degree in data science, environmental science, or related fields; often includes programming and statistical certificationsUsually requires a degree in environmental science, geography, or related fields; may include basic data analysis certifications
Work EnvironmentResearch labs, data centers, environmental agencies, or consulting firmsEnvironmental agencies, research organizations, or consulting firms
Employer & Industry UsageUsed in environmental research, climate modeling, and policy analysisUsed in environmental monitoring, reporting, and data interpretation

Environmental Data Science focuses on developing models and algorithms to analyze complex environmental data, often requiring advanced programming skills. In contrast, Environmental Data Analysts primarily interpret and visualize environmental data to support decision-making. Both roles are vital but differ in technical depth and scope.

More about Environmental Data Science jobs
What cities are hiring for Environmental Data Science jobs? Cities with the most Environmental Data Science job openings:
What are the most commonly searched types of Environmental Data Science jobs? The most popular types of Environmental Data Science jobs are:
What states have the most Environmental Data Science jobs? States with the most job openings for Environmental Data Science jobs include:
What job categories do people searching Environmental Data Science jobs look for? The top searched job categories for Environmental Data Science jobs are:
Environmental Data Science jobs near you
Infographic showing various Environmental Data Science job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, 11% Part Time, and 14% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Environmental Data Science Engineer

Environmental Data Science Engineer

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

$99.30K - $119.30K/yr

Full-time

Posted 25 days ago

Oak Ridge National Laboratory rating

9.3

Company rating: 9.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

4th of 103 rated laboratories

Job description

Requisition Id 16401
Oak Ridge National Laboratory has multiple openings for an Environmental Data Science Engineer in Oak Ridge, TN, to apply advanced data science methods, tools, and techniques to the design, development, and implementation of data-driven solutions to help link advanced informatics and computer science to data management and distribution in Earth and Environmental sciences in support of DOE's science, energy, and national security missions. Requires a Master's Degree in Computer Science, Information Science or related field, and 1.5 years of full time, post degree experience developing scientific data management tools to manage a large volume of sensor and other sources. Experience must include: Working with frameworks such as D3.js, ExpressJS, and Node.js, Java 7/8, Spring Boot, Webservices, and Python; Developing geospatial web tools for advanced visualization and real-time data analysis; Working in a DEV/OPS research environment and a solid understanding of source control using Git or a similar version control systems; Applying big data technologies such as Cassandra, Spark, GraphQL, or others to analyze large and diverse environmental data. Also requires: Proven background in real-world computer programming applied to ecological and environmental science applications; Familiarity with High-Performance Computing (HPC); Demonstrated applied knowledge in databases such as PostgreSQL or MySQL; Demonstrable knowledge in programming languages such as Java and Python; Good communication skills in English (both oral and written); Desire to learn and adopt new tools and technologies as required by the projects; and Willingness to travel 3-4 times per year to national conferences. Occasional remote work within commuting distance is permitted. Apply via the following link: https://jobs.ornl.gov/job-invite/16401/ or email Woodysb@ornl.gov. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov. For information about our benefits, working here, and living here, visit the "About" tab at jobs.ornl.gov. Relocation package may be available.
#LI-DNP
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

What Oak Ridge National Laboratory employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply