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Entry Level Environmental Data Scientist information

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$41K

$84.1K

$123K

How much do entry level environmental data scientist jobs pay per year?

As of Jun 9, 2026, the average yearly pay for entry level environmental data scientist in the United States is $84,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Environmental Data Scientist vs Entry Level Environmental Analyst?

AspectEntry Level Environmental Data ScientistEntry Level Environmental Analyst
Required CredentialsBachelor's in Environmental Science, Data Science, or related field; some roles may prefer certifications in data analysis or GISBachelor's in Environmental Science, Environmental Management, or related field; certifications in environmental regulations or GIS are common
Work EnvironmentData-focused roles often in labs, research institutions, or corporate sustainability teamsFieldwork, data collection, and reporting in government agencies, consulting firms, or NGOs
Employer & Industry UsageUsed in research, corporate sustainability, and environmental consultingCommon in government agencies, environmental consulting, and non-profit organizations

While both roles require a background in environmental sciences, the Environmental Data Scientist focuses more on data analysis, modeling, and programming, whereas the Environmental Analyst emphasizes data collection, reporting, and regulatory compliance. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What does an Entry Level Environmental Data Scientist do?

An Entry Level Environmental Data Scientist collects, analyzes, and interprets environmental data such as air, water, and soil quality. They use statistical methods and programming tools to help identify patterns and trends, supporting research and policy decisions. Often, they work under the guidance of senior scientists to prepare reports, visualize data, and ensure data quality. Their work helps organizations understand environmental impacts and develop solutions for sustainability.

What types of projects and data sets do entry-level environmental data scientists typically work with?

As an entry-level environmental data scientist, you will often work with diverse data sets such as air and water quality measurements, climate records, satellite imagery, and GIS data. Projects can include analyzing trends in pollution, modeling the effects of environmental policies, or creating data visualizations to support sustainability initiatives. You’ll collaborate closely with environmental engineers, researchers, and policy teams, often participating in both data cleaning and preliminary analysis before results are shared with stakeholders. This variety provides valuable exposure to real-world environmental issues and lays a solid foundation for career growth.

What are the key skills and qualifications needed to thrive as an Entry Level Environmental Data Scientist, and why are they important?

To thrive as an Entry Level Environmental Data Scientist, you need a background in environmental science or a related field, along with strong skills in data analysis and statistics. Familiarity with programming languages like Python or R, experience with GIS software, and knowledge of data visualization tools are typically required. Analytical thinking, attention to detail, and effective communication are valuable soft skills that help in interpreting and sharing complex findings. These competencies are crucial for generating reliable insights and informing environmental decision-making within organizations.
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What cities are hiring for Entry Level Environmental Data Scientist jobs? Cities with the most Entry Level Environmental Data Scientist job openings:
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Entry Level Environmental Data Scientist jobs near you
Infographic showing various Entry Level Environmental Data Scientist job openings in the United States as of May 2026, with employment types broken down into 11% Locum Tenens, 11% As Needed, 56% Full Time, and 22% Temporary. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $84,123 per year, or $40.4 per hour.
Environmental Data Scientist (AI/ML)

Environmental Data Scientist (AI/ML)

AIS (Applied Information Sciences)

La Jolla, CA

Full-time

Medical, Dental, PTO

Posted 27 days ago

Job description

A.I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulations as well as collecting data for use by Federal, State, Municipal, and other government agencies along the US coastline. AIS is looking for an Environmental Data Scientist (AI/ML) to support the SWFSCs Ecosystem Science Division (ESD).


Primary Function:

The Environmental Data Scientist (AI/ML) will support the Southwest Fisheries Science Center's (SWFSC) Ecosystem Science Division in developing and operationalizing Artificial Intelligence/Machine Learning (AI/ML) workflows for automated processing and analysis of large-scale imagery datasets. These datasets are generated by advanced technologies including underwater glider cameras, aerial imaging systems, animal-borne video loggers, and remote trail cameras used to monitor marine and terrestrial environments. The specialist will evaluate available methods, develop integrated data management systems, deploy models in cloud environments, and lead efforts to increase the efficiency and scalability of ESD's analytical capabilities.


Duties/Responsibilities:

  • Develop new capabilities including data management systems and integrated workflows to increase efficiency of processing and preparing data for research projects and AI/ML model development
  • Explore various optical imagery datasets for the design, development, evaluation, and application of AI/ML capabilities, edge computing, and automated analytic workflows
  • Develop or adapt software for optical imagery processing and web-based dashboards using Python and/or C/C++
  • Deploy models using virtual machines (VMs) in the Google Cloud Platform
  • Execute technical research projects, track progress, and present technical material in a variety of forums including weekly team meetings, conferences, working groups, and program reviews
  • Create standard operating procedures (SOPs) for implementing AI/ML pipelines and instruct additional staff on their use
  • Submit monthly progress reports reflecting the status and progress of all tasks


Compensation: Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending on candidates' depth of experience. This is a full-time position. AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits.

Minimum Qualifications:

  • Master's Degree in a related field plus two (2) years' experience.
  • Demonstrated experience coding in Python, R, and/or C/C++
  • Experience developing automated workflows for data processing or analysis
  • Experience maintaining application software and data management tools
  • Must be a U.S. Citizen


Preferred Qualifications:

  • PhD may be substituted for master's degree and 2 years of relevant experience.
  • Experience developing or applying computer vision and machine learning models for ecological or environmental image analysis
  • Familiarity with Google Cloud Platform (GCP) services including virtual machine deployment and cloud storage
  • Experience with edge computing platforms or embedded systems for field data collection
  • Background in marine, environmental, or fisheries science contexts

Travel:

  • Travel (limited) is required for conferences, working groups, and program reviews.
  • No routine field travel is anticipated for this position.

Location:

  • 8901 La Jolla Shores Dr., La Jolla, CA 92037 (Southwest Fisheries Science Center)

Contact:

If you would like to apply for this exciting new opening, please visit our Careers Page to submit the required information:

  • Resume
  • Cover letter detailing relevant experience.
  • 3 professional references (name, email address and phone number)

All documents must be submitted for your application to be considered. If you have any questions pertaining to this opening, please reach out to our Talent Team or call 774-770-5833.


An Equal Opportunity Employer

It is the policy of A.I.S. to recruit, hire, train, promote, transfer and compensate our employees and provide all other conditions of employment including Company sponsored events without regard to race, color, creed, religion, national origin, age, sex, gender identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status or any other status protected by applicable law.

Must be able to work in the U.S. VEVRAA Federal Contractor Request Priority Protected Veteran Referrals Equal Opportunity Employer

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