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Environmental Data Science Jobs in Washington (NOW HIRING)

VTG

Data Scientist

Chantilly, VA · On-site

Deploy and monitor machine learning models in production environments * Continuously improve model performance and accuracy * Stay current with emerging data science techniques, tools, and ...

Sphinx LLC

Data Scientist

Quantico, VA · Remote

$150K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... environment and comfortable operating with limited guidance and oversight, maturity and self-motivation required. - Must possess relevant Data Science, Data Engineering, AI/ML Development, or ...

VTG

Data Scientist

Herndon, VA

Deploy and monitor machine learning models in production environments * Continuously improve model performance and accuracy * Stay current with emerging data science techniques, tools, and ...

VTG

Data Scientist

Mclean, VA · On-site

Deploy and monitor machine learning models in production environments * Continuously improve model performance and accuracy * Stay current with emerging data science techniques, tools, and ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Environment. In this role, you will work autonomously to find creative solutions and tackle ... As a part of the Data Science team you'll have opportunities to work on projects that expand your ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Environment. In this role, you will work autonomously to find creative solutions and tackle ... As a part of the Data Science team you'll have opportunities to work on projects that expand your ...

Elder Research

Data Scientist

Arlington, VA · On-site

... environments. You will work directly with government clients, program managers, and technical teams ... You will contribute across the full data science lifecycle, from problem formulation and data ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site +1

... Environment. In this role, you will work autonomously to find creative solutions and tackle ... As a part of the Data Science team you'll have opportunities to work on projects that expand your ...

VT Group (VTG)

Data Scientist

Chantilly, VA · On-site

... Data Science, Statistics, Mathematics, Computer Science, or related field • 5-9 years of ... Agile delivery environments • Experience supporting IC, DoD, or DOJ mission programs • ...

Analygence

Data Scientist

Arlington, VA · On-site

Key Responsibilities * Lead development and application of advanced data science, AI/ML ... Defense environment. * Experience developing ROI-based analytical models, COA comparison frameworks ...

Elder Research

Data Scientist

Arlington, VA · On-site

... environments. You will work directly with government clients, program managers, and technical teams ... You will contribute across the full data science lifecycle, from problem formulation and data ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

... science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs in order to then dig into their data-rich environments to find the pieces of ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs in order to then dig into their data-rich environments to find the pieces of ...

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Showing results 41-60

All JobsEnvironmental Data Science JobsEnvironmental Data Science Jobs in Washington

Environmental Data Science information

See Washington salary details

$42.5K

$139K

$222.6K

How much do environmental data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for environmental data science in Washington is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 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.

What are popular job titles related to Environmental Data Science jobs in Washington?

For Environmental Data Science jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Environmental Data Science jobs in Washington look for?

The top searched job categories for Environmental Data Science jobs in Washington are:

What cities in Washington are hiring for Environmental Data Science jobs?

Cities in Washington with the most Environmental Data Science job openings:

Environmental Data Science jobs near you
Infographic showing various Environmental Data Science job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

Senior Specialist, Federal Data Science

KPMG US

Washington, DC • On-site

Full-time

Posted 9 days ago

Job description

Job Summary:
KPMG US is a leading firm in the Advisory practice, offering opportunities for career advancement and professional development. They are seeking a Senior Specialist to join their Federal Advisory practice, where the role involves collaborating with multi-disciplinary teams to design and develop data science and machine learning solutions for clients.
Responsibilities:
• Collaborate multi-disciplinary / cross-functional teams to identify business opportunities, design / develop machine learning, and data science solutions
• Utilize processes / best practices to plan, lead, and execute delivery of artificial intelligence engagements
• Work with clients to understand business requirements, design solutions utilizing data analytics solutions, and work with data engineers to develop / utilize ETL process to ingest structured / unstructured data
• Leverage a variety of data sources such as social media, internal / external documents, images, video, financial data, and operational data to develop cutting-edge data-driven products
• Perform explanatory data analysis, generate / test working hypotheses, prepare / analyze historical data, and identify data patterns
• Perform machine learning, natural language, and statistical analysis methods
• Contribute to developing dashboards, UI and interactive tools to support clients turn their data into actionable insights / reproducible reports
Qualifications:
Required:
• A minimum of three years of technical data science experience; U.S. Federal government consulting experience preferred
• Bachelor's degree from an accredited college/university
• Proficiency with programming languages such as Python, R, Java, SQL, and their open-source packages / libraries
• Experience in developing Deep Learning models (e.g. CNN, Recurrent, etc.) and its applications (e.g. - object detection, text recognition, language modeling, etc.) and tools (e.g. - TensorFlow, PyTorch, Keras, Fast.ai, etc.)
• Familiarity with big data open-source tools (e.g. - Spark, Hadoop, Kafka, etc.) and open-source web frameworks / UI Platforms (e.g. - Flask, Shiny, Django, Dash)
• Experience leveraging cloud services in technical data environments
• Ability to travel as required to support firm engagements
• Applicant must possess a U.S. Government Secret clearance
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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