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Environmental Data Science Jobs in Washington (NOW HIRING)

Tulk LLC

Data Science SME Senior

Fort Belvoir, VA · On-site

$120K - $171K/yr

Data Science SME Senior TULK supports U.S. national security customers with cleared experts who ... Deliver GEOINT tradecraft learning in classroom, virtual, and mobile training environments. * Help ...

Booz Allen Hamilton

Data Science Engineer, Lead

Mclean, VA · On-site

$99K - $225K/yr

Here, you'll work with a multi-disciplinary team of analysts, data scientists, data engineers, developers, and data consumers in a fast-paced and agile environment. As a Data Science Engineer at Booz ...

TULK llc.

Data Science SME Lead

Springfield, VA · On-site

$120 - $189/hr

Data Science SME Lead Full Time Springfield, VA, US 30+ days ago Requisition ID: 1762 Salary Range ... Deliver GEOINT tradecraft learning in classroom, virtual, and mobile training environments. * Help ...

Booz Allen Hamilton

Lead Data Science Engineer

Mclean, VA · On-site

$99K - $225K/yr

Here, you'll work with a multi-disciplinary team of analysts, data scientists, data engineers, developers, and data consumers in a fast-paced and agile environment. As a Data Science Engineer at Booz ...

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 ...

VTG

Data Scientist

Herndon, 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 ...

VTG

Data Scientist

Chantilly, 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 ...

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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 Sep 5, 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.

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 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 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.

Is environmental data science a good major?

Environmental Data Science is a relevant major for careers involving analyzing environmental data, modeling ecological systems, and supporting sustainability efforts. It typically combines skills in data analysis, programming, and environmental science, preparing graduates for roles in research, consulting, or government agencies.

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 large datasets related to climate, pollution, and natural resources.

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.

Data Science SME Senior

Tulk LLC

Fort Belvoir, VA • On-site

$120K - $171K/yr

Full-time

Re-posted 13 days ago

Job description

Data Science SME Senior

TULK supports U.S. national security customers with cleared experts who understand the mission, the tradecraft, and the people who have to make decisions with imperfect information.

On GTLSS, TULK supports the National Geospatial-Intelligence College and related NGA mission partners by helping develop, deliver, and maintain GEOINT learning that is current, practical, and mission-relevant.

Why This Role Matters

This is a mission-facing role for a senior Data Science professional who wants to turn deep tradecraft experience into practical learning for analysts, operators, and mission partners. You will help deliver, maintain, and improve training that supports how GEOINT professionals solve real national security problems.

What You Will Do

  • Deliver GEOINT tradecraft learning in classroom, virtual, and mobile training environments.
  • Help learners connect tradecraft concepts to realistic mission scenarios, analytic problems, and operational decision-making.
  • Support curriculum management, course maintenance, and course development activities in accordance with NGC guidance.
  • Review courseware for technical accuracy, currency, instructional effectiveness, and alignment to the assigned tradecraft area.
  • Participate in Integrated Development Team meetings with course managers, learning development representatives, and mission stakeholders.
  • Maintain required instructor certification and course qualification status.

Required Skills and Experience

  • U.S. citizenship is required.
  • An active TS/SCI security clearance is required. Some positions may require additional accesses, SCI eligibility, or successful completion of a Counterintelligence-scope polygraph process as directed by the customer.
  • Education: A bachelor's degree from an accredited (i.e., regional, national, or institutional) academic institution, related to their assigned area of expertise (i.e., Computational Thinking, Programming, Statistics, or Data Visualization).
  • Education: Department of Defense (DoD) Basic Instructor Certification
  • Experience: Minimum 10 years of experience focusing on the concepts and applications of data analytics, computer science and programming, data modeling, Artificial intelligence and machine learning.
  • Experience: Minimum 2 years delivering learning content to adult learners in a classroom setting.

What We Value

  • Mission focus, sound judgment, and professionalism in support of national security customers.
  • The ability to make complex GEOINT concepts clear, useful, and relevant to adult learners.
  • Strong communication, preparation, and follow-through.
  • A collaborative approach with government, contractor, and mission partners.
  • A bias for practical improvements that make training better and more useful for the mission.