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Environmental Data Science Jobs (NOW HIRING)

Data Science Fellow

Chicago, IL · On-site

$51K - $87K/yr

We instill an environment where employees feel engaged, satisfied and able to contribute their ... You will be responsible for data science projects across the healthcare domains of clinical ...

Data Science Expert

$120 - $170/hr

Required Qualifications * 5+ years of professional experience in Data Science within an industry environment. * Strong background in business operations, product analytics, growth analytics, or ...

Valero is looking for a passionate and technically accomplished Data Scientist to develop and ... environment built on teamwork, excellence and career growth. To explore the ways we build a ...

Valero is looking for a passionate and technically accomplished Data Scientist to develop and ... environment built on teamwork, excellence and career growth. To explore the ways we build a ...

Proven experience leading data science teams working on complex analytics initiatives in a commercial or product-driven environment. Strong background in data science modelling, with deep expertise ...

Data Science Fellow

Chicago, IL · On-site

$51K - $87K/yr

We instill an environment where employees feel engaged, satisfied and able to contribute their ... You will be responsible for data science projects across the healthcare domains of clinical ...

Proven experience leading data science teams working on complex analytics initiatives in a commercial or product-driven environment. Strong background in data science modelling, with deep expertise ...

Proven experience leading data science teams working on complex analytics initiatives in a commercial or product-driven environment. Strong background in data science modelling, with deep expertise ...

What We're Looking For Required * 8+ years in applied data science or ML, with at least 3 years managing teams of scientists and engineers in a fast-paced tech or e-commerce environment. * Proven ...

... a fast-paced environment. What You'll Do: * Lead, coach, and develop the Data Science team ... providing technical guidance, feedback, and career development while fostering a high-performing ...

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field ... delivery environments Data Scientist III * Bachelor's degree in Data Science, Statistics ...

Showing results 41-60

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:
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.

Full-time

Re-posted 25 days ago


Job description

Company Description
Jobs for Humanity is collaborating with Upwardly Global and with Rutgers Ag to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.
Company Name: Rutgers Ag
Job Description

Posting Title: Professor - Data Science - Tenured
Department: Proteomics
Salary: Open
Posting Summary: Rutgers, The State University of New Jersey (New Brunswick, NJ, USA) invites applications for a distinguished data scientist, focused on three-dimensional (3D) structures of biological macromolecules, to be appointed at the level of tenured Professor or above. This role will involve directorship of the Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB, RCSB.org) and the opportunity to be part of a leadership team building a new Rutgers translational data science, artificial intelligence, and cyberinfrastructure initiative. We are seeking an expert in computational and/or experimental structural biology with an outstanding record of accomplishment and excellent future promise working at the interface between biology/medicine and the computational, statistical, physical, chemical, mathematical, or bioengineering sciences.
The RCSB PDB, headquartered at Rutgers, is the United States data center of the Worldwide Protein Data Bank partnership (wwPDB.org). Now in its 52nd year of continuous operations, the PDB has been funded by US government agencies since 1971. Today, it is jointly supported by the National Science Foundation, the National Institutes of Health, and the US Department of Energy, to serve many millions of PDB data consumers worldwide with its one-stop-shop for open access to the world's public domain 3D biostructure information. PDB data are also repackaged and freely reused by nearly 500 trusted external data resources and biopharmaceutical companies, both large and small, at no charge and with no limitations on usage.
Applicants must have received a Ph.D. (or foreign equivalent) in experimental or computational structural biology, biochemistry, chemistry, physics, computer science, statistics, or related field; made outstanding contributions in basic/applied research; acted as a persuasive advocate for the open data movement and the FAIR and FACT Principles emblematic of responsible data stewardship; and successfully led large multidisciplinary teams engaged in national/international collaborations. The visionary appointee will be expected to direct the RCSB PDB and sustain its success for a decade or more; pursue a world-class research program; secure external federal and private funding; establish and lead an institution-wide data science initiative; serve as an effective science communicator and teacher; and mentor Rutgers undergraduate and graduate students, postdoctoral fellows, and data science professionals, by promoting and exemplifying a culture of diversity, equity, inclusion, and access. Applications should include a cover letter, CV, publication list, 3-4 page statement of research and leadership accomplishments and plans, 2-3 page statement of teaching and mentoring accomplishments and plans, and names of three potential references (candidates will be contacted before any letters are solicited). All materials should be submitted online via ROCS. Review of applications will begin in September 2023 and will continue until the position is filled.
Position Status: Full Time
Posting Number: 23FA0830
Posting Open Date: 08/14/2023
Posting Close Date:
Qualifications:
Minimum Education and Experience: Applicants must have received a Ph.D. (or foreign equivalent) in experimental or computational structural biology, biochemistry, chemistry, physics, computer science, statistics, or related field; made outstanding contributions in basic/applied research; acted as a persuasive advocate for the open data movement and the FAIR and FACT Principles emblematic of responsible data stewardship; and successfully led large multidisciplinary teams engaged in national/international collaborations.
Certifications/Licenses:
Required Knowledge, Skills, and Abilities: Expert in computational and/or experimental structural biology with an outstanding record of accomplishment and excellent future promise working at the interface between biology/medicine and the computational, statistical, physical, chemical, mathematical, or bioengineering sciences. A track record of successfully leading large multidisciplinary teams engaged in national/international collaborations.
Equipment Utilized:
Physical Demands and Work Environment Overview Statement: The visionary appointee will be expected to direct the RCSB PDB and sustain its success for a decade or more; pursue a world-class research program; secure external federal and private funding; establish and lead an institution-wide data science initiative; serve as an effective science communicator and teacher; and mentor Rutgers undergraduate and graduate students, postdoctoral fellows, and data science professionals, by promoting and exemplifying a culture of diversity, equity, inclusion, and access.
Posting Details:
Special Instructions to Applicants: Applications should include a cover letter, CV, publication list, 3-4 page statement of research and leadership accomplishments and plans, 2-3 page statement of teaching and mentoring accomplishments and plans, and names of three potential references (candidates will be contacted before any letters are solicited). All materials should be submitted online via the job.rutgers.edu job posting. Review of applications will begin in September 2023 and will continue until the position is filled.
Quick Link to Posting: https://jobs.rutgers.edu/postings/208064
Campus: Rutgers University-New Brunswick
Home Location Campus: Busch (RU-New Brunswick)
City: Piscataway
State: NJ
Location Details: Institute for Quantitative Biomedicine - Proteomics
174 Frelinghuysen Rd
Piscataway NJ 08854
Pre-employment Screenings: All offers of employment are contingent upon successful completion of all pre-employment screenings.
Immunization Requirements: Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption.
Affirmative Action/Equal Employment Opportunity Statement: It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law.
Posting Specific Questions: Required fields are indicated with an asterisk ().
Applicant Documents:
Required Documents:
- Resume/CV
- Cover Letter/Letter of Application
- Other Document
- List of Professional References (contact Info)
- Research Statement
- Other Documents (4)
Optional Documents:
Contact RU-info at 732-445-info (4639) | Questions? Ask Colonel Henry or text us at 732-662-2664.