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Environmental Data Science Jobs in Seattle, WA (NOW HIRING)

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

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

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Experience developing AI solutions in cloud environments such as AWS, Azure, or Google Cloud ...

... operating environment. Honor combines technology, operations, and the local expertise of our ... Help shape the Data Science and Applied AI roadmap, identifying where predictive modeling ...

We cultivate a work environment that nurtures personal and professional growth, and this is a ... The Director, Data Science provides strategic and operational leadership for MCG's Data Science ...

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ... Work in a team environment to deliver analytics solution to client * Define new business metrics as ...

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ... Work in a team environment to deliver analytics solution to client * Define new business metrics as ...

Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ... Work in a team environment to deliver analytics solution to client * Define new business metrics as ...

We are looking for high-energy, creative modeling geeks who are willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and ...

Perform professional environmental science work and assist with conducting investigations ... Prepare data and visualizations such as tables, charts, accurate reports, and illustrations for the ...

Associate Environmental Scientist

Redmond, WA · On-site

$84K - $110K/yr

Perform professional environmental science work and assist with conducting investigations ... Prepare data and visualizations such as tables, charts, accurate reports, and illustrations for the ...

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... Researching and proposing solutions to the different science problems in an evolving environment

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Showing results 1-20

Environmental Data Science information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do environmental data science jobs pay per year?

As of Jul 28, 2026, the average yearly pay for environmental data science in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

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.

Can data scientists make $300k?

Environmental data scientists can potentially earn $300,000 or more at senior levels or in specialized roles, especially with extensive experience, advanced skills in machine learning, and working in high-demand industries or organizations. However, such salaries are typically achieved through seniority, leadership positions, or in regions with higher compensation standards.

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.

Is 40 too late for data science?

Environmental Data Science is a field that values skills and experience over age, and many professionals transition into data science later in their careers. Gaining relevant knowledge in programming, statistics, and environmental data tools can enable a successful entry regardless of age, as continuous learning and practical experience are key factors in the field.

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 is the highest paying environmental science job?

Environmental Data Science roles such as senior environmental data scientists or environmental analytics managers tend to have the highest salaries in the field, often exceeding $100,000 annually. These positions typically require advanced skills in data analysis, programming, and environmental modeling, and may involve leadership responsibilities or specialized expertise in areas like climate modeling or sustainability analytics.

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 the most commonly searched types of Environmental Data Science jobs in Seattle, WA? The most popular types of Environmental Data Science jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Environmental Data Science jobs? Cities near Seattle, WA with the most Environmental Data Science job openings:
Infographic showing various Environmental Data Science job openings in Seattle, WA as of July 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Temporary. Highlights an 100% In-person job distribution, with an average salary of $139,680 per year, or $67.2 per hour.

Environmental Data Analytics Specialist

WSP in the U.S.

Seattle, WA • On-site

Full-time

Posted 20 days ago


Job description

Job Summary:
WSP is a leading engineering and professional services firm dedicated to serving local communities. They are seeking an Environmental Data Analytics Specialist to support projects with their Environment, Remediation, and Water Team, focusing on data manipulation, management, and analysis within various software environments.
Responsibilities:
• Perform both geographic and non-geographic data manipulation, data management and analysis, and develop/use automated data management processes using a variety of software environments.
• Revise existing GIS layers and create new layers following established standards and procedures
• Maintain quality control standards and procedures for accurate and precise measurement and documentation.
• Assist with performing basic professional environmental science work relating to ecological systems, air, and water resources, assisting with verifying the characteristics of a site and providing entry-level technical assistance on various environmental issues.
• Work on multiple projects simultaneously, with a commitment to keeping projects on time and within budget
• Work in a production-oriented environment as part of a team
• Prepare technical documentation of project requirements, procedures, execution, and implementation plans
• Maintain metadata and best practices to support systems and data
• Assist in the preparation of various analytical reports and monthly progress reports suitable for meetings
• Exercise responsible and ethical decision-making regarding company funds, resources and conduct, and adhere to WSP’s Code of Conduct and related policies and procedures.
• Perform additional responsibilities as required by business needs.
Qualifications:
Required:
• Bachelor’s Degree in Environmental Science, Geology, Chemistry, Natural Resources Management, Geography, Computer Science, GIS, or a related science field.
• 1-3 years of experience in Environmental data.
• Experience using ESRI's ArcGIS Pro (ArcMap, ArcCatalog)
• Basic familiarity with database development and management (using MS Access and/or EQuIS)
• Basic familiarity with programming languages (for example Python, R, or Visual Basic)
• Familiarity with other Microsoft Office software (Excel, Office, Word, Access, and PowerPoint)
• Must possess good organizational and oral and written communication skills
• Ability to work both independently and as part of a team
• Excellent analytical / problem-solving skills
• Competent interpersonal and communication skills when interacting with others, expressing ideas effectively and professionally to a scientific and non-scientific audience.
• Proficient self-leadership with attention to detail, multi-tasking, and prioritization of responsibilities in a dynamic work environment.
• Basic proficiency with business writing, office automation and communication software, technology, and tools.
• Proven track record of upholding workplace safety and ability to abide by WSP’s health, safety and drug/alcohol and harassment policies.
Preferred:
• Master’s Degree in Environmental Science, Geology, Chemistry, Natural Resources Management, Geography, Computer Science, GIS, or a related science field.
• Experience with laboratory analytical data packages and electronic data reports
• Experience using ESRI’s ArcGIS Spatial Analyst Extension
• Proficient with programming languages Python, R, and/or Visual Basic
• Experience with 3D environmental visualization software (e.g. LeapFrog, EVS)
• Experience with code version control systems such as git
Company:
What if you could shape built and natural environments – and the future of those that use them? With us, you can. Founded in 1980, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.