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Environmental Data Science Jobs (NOW HIRING)

Elsevier

Manager Data Science

Philadelphia, PA

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... or product environments. * Technical expertise across machine learning, generative AI, large ...

Elsevier

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... or product environments. * Technical expertise across machine learning, generative AI, large ...

RELX Group plc

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... or product environments. * Technical expertise across machine learning, generative AI, large ...

RELX

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... or product environments. * Technical expertise across machine learning, generative AI, large ...

Figma

Director, Data Science

San Francisco, CA · On-site +1

Establish trust within and across teams by creating accountability and a positive work environment ... high output Data Science teams, with at least 2 years managing other managers * 7+ years of ...

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$75K - $87K/yr

Bachelor's Degree in Environmental Science, Geology, Chemistry, Natural Resources Management ... Experience with laboratory analytical data packages and electronic data reports * Experience using ...

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$75K - $87K/yr

Bachelor's Degree in Environmental Science, Geology, Chemistry, Natural Resources Management ... Experience with laboratory analytical data packages and electronic data reports * Experience using ...

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$66K - $77K/yr

Bachelor's Degree in Environmental Science, Geology, Chemistry, Natural Resources Management ... Experience with laboratory analytical data packages and electronic data reports * Experience using ...

AstraZeneca

Scientist, Data Science

Waltham, MA · On-site

... environment at the cutting edge of research. The ideal candidate will thrive in this setting ... Stay current with the latest developments in data science and bioinformatics tools. Qualifications:

AstraZeneca

Scientist, Data Science

Waltham, MA · On-site

... environment at the cutting edge of research. The ideal candidate will thrive in this setting ... Stay current with the latest developments in data science and bioinformatics tools. Qualifications:

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$66K - $77K/yr

Bachelor's Degree in Environmental Science, Geology, Chemistry, Natural Resources Management ... Experience with laboratory analytical data packages and electronic data reports * Experience using ...

AstraZeneca

Scientist, Data Science

Waltham, MA · On-site

... environment at the cutting edge of research. The ideal candidate will thrive in this setting ... Stay current with the latest developments in data science and bioinformatics tools. Qualifications:

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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 Aug 11, 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.

Is environmental data science a good major?

Environmental data science is a strong major for those interested in analyzing environmental data, using tools like GIS and statistical software. It prepares students for roles in environmental monitoring, research, and policy, often requiring skills in programming, data analysis, and environmental science. Job prospects are growing as organizations seek data-driven solutions to environmental challenges.

What does an environmental data scientist do?

An environmental data scientist analyzes environmental data to identify patterns, assess environmental risks, and support decision-making. They use statistical tools, programming languages like Python or R, and GIS software to interpret data related to climate, pollution, and natural resources, often working with large datasets and models to inform environmental policies and practices.

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 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 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.

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.
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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Early Career Environmental Engineer/ Scientist/ Geologist

GSI Environmental Inc.

Olympia, WA • On-site, Remote

$60K - $85K/yr

Full-time

Re-posted 20 days ago

Job description

About Us
GSI Environmental Inc. (GSI) is a privately held, employee-owned company offering superior compensation, benefits, professional development, GSI employs cross-disciplinary teams of environmental engineers and scientists, including toxicologists, geologists, hydrogeologists, ecologists, chemists, oceanographers, and data scientists with seamless collaboration over both technical disciplines and offices. Headquartered in Houston, Texas, GSI operates offices in Texas (Austin and Houston), California (Irvine, the San Francisco Bay Area, and Folsom), Washington (Olympia), Montana (Missoula and Helena), North Carolina (Raleigh), and New York (Syracuse). Our talented staff of environmental professionals perform projects nationwide and internationally.


At GSI, we seek the best and brightest talent and provide a supportive environment for career development. Our company culture is built on excellent service, teamwork, and technical collaboration to solve the most challenging environmental problems. We have an immediate opening for an Early Career Environmental Engineer/ Scientist/ Geologist in our Olympia, Washington office. Come join our team!


Responsibilities

  • Assist Project Technical Leads (PTLs) in the preparation of high-quality technical presentations, reports, letters, plans, and proposals.
  • Support the design of assessment programs and remedial investigations for site cleanup, as well as regulatory compliance, litigation support, and research projects.
  • Assist in the management, analysis, and interpretation of environmental data using statistical and data visualization tools.
  • While not the primary function of this position, willingness to perform fieldwork to support environmental assessment, remediation, and restoration projects. Fieldwork may include the collection of groundwater, soil, stormwater, and surface water.
  • Perform data entry and QA/QC of data tables, maps, reports, and other work products.
  • Independently perform research tasks with input from technical experts.
  • Contribute to a positive team atmosphere through collaboration with technical experts, project managers, colleagues, and subcontractors.

Qualifications/Requirements

  • A Bachelor’s degree or higher within the field of environmental sciences required; Master’s degree preferred.
  • Up to 2 years of relevant professional work experience preferred.
  • Experience with Microsoft Office, programming skills in R and/or Python preferred.
  • An interest in leveraging automated workflows and data science tools.
  • Excellent organizational, verbal, and written communication skills are required.
  • 40-hour OSHA HAZWOPER certification is preferred, or willingness and ability to become certified.
  • Experience using mapping software such as ESRI ArcGIS is a plus.
  • Valid driver’s license and clear driving record required.
  • Ability/willingness to travel

Job Perks

  • Competitive salary and benefits
  • Quarterly and year-end bonuses
  • Flexible work environmental with potential for remote work
  • On-the-job training, mentorship, and professional development
  • Participation in conferences, technical presentations, and papers
  • Highly collaborative atmosphere

The salary range for an early-career candidate is $60,000 – 85,000 per year. The exact base salary for this position will be determined by the candidate’s geographic location, education, relevant degree, related experience, and overall qualifications.

Apply