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Environmental Data Science Jobs in Virginia (NOW HIRING)

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

... 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

Data Scientist

Alexandria, VA · On-site

... 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, Inc.

Data Scientist

Alexandria, VA · On-site +1

... 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 ...

DCCA

SME - Data Scientist

Mclean, VA · On-site

Responsibilities : • Experience with data science toolkits, data analytics and statistical analysis as well as data discovery, use and exploitation within multi-cloud environments. • Experience ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

... 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 ...

Tulk LLC

Data Science SME Lead

Fort Belvoir, VA · On-site

$120K - $189K/yr

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

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 ...

Leidos

Data Scientist

Springfield, VA · On-site

... environments. Key Responsibilities * Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site

... 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 ...

Leidos

Data Scientist

Springfield, VA · On-site

... environments. Key Responsibilities * Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design ...

Leidos

Data Scientist

Springfield, VA · On-site

... environments. Key Responsibilities * Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design ...

Leidos

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

... environments. Key Responsibilities * Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design ...

Leidos

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

... environments. Key Responsibilities * Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design ...

Leidos

Data Scientist

Springfield, VA · On-site

... environments. Key Responsibilities * Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design ...

Accroid Inc

Data Scientist

Springfield, VA · On-site

Bachelor''s degree in Data Science, Computer Science, Engineering , or a related field. Preferred Skills * Experience supporting DoD, Intelligence Community, or Federal environments. * Experience ...

CarMax, Inc.

Director, Data Science

Richmond, VA · On-site

... environment designed to teach uniquely gifted analytic professionals how to become effective, value adding data scientists • Leverage strong functional expertise in a quickly evolving field to ...

Carmax

Director, Data Science

Richmond, VA

... environment designed to teach uniquely gifted analytic professionals how to become effective, value adding data scientists Leverage strong functional expertise in a quickly evolving field to ensure ...

VT Group (VTG)

Data Scientist

Chantilly, VA · On-site

... environments • Continuously improve model performance and accuracy • Stay current with emerging data science techniques, tools, and technologies Qualifications : Required : • Active TS/SCI with ...

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Showing results 41-60

All JobsEnvironmental Data Science JobsEnvironmental Data Science Jobs in Virginia

Environmental Data Science information

See Virginia salary details

$37.2K

$121.7K

$194.8K

How much do environmental data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for environmental data science in Virginia is $121,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $134,800.00 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 the most commonly searched types of Environmental Data Science jobs in Virginia? The most popular types of Environmental Data Science jobs in Virginia are:
What are popular job titles related to Environmental Data Science jobs in Virginia? For Environmental Data Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Environmental Data Science jobs in Virginia look for? The top searched job categories for Environmental Data Science jobs in Virginia are:
What cities in Virginia are hiring for Environmental Data Science jobs? Cities in Virginia with the most Environmental Data Science job openings:
Environmental Data Science jobs near you
Infographic showing various Environmental Data Science job openings in Virginia as of August 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 100% In-person job distribution, with an average salary of $121,686 per year, or $58.5 per hour.

Data Scientist

Analygence

Arlington, VA • On-site

Full-time

Posted 21 days ago

Job description

Description
Tharros is actively pursuing an opportunity to support the Air Force Mission Assurance Construct Support (MACS) program, providing mission analysis, base assessment support, and data platform management services that strengthen the Air Force's Mission Assurance Construct.
Tharros is seeking a Data Scientist to serve as the program's senior analytical authority, leading development and application of advanced data science methods, analytical models, and Palantir Foundry applications in direct support of Mission Assurance decision-making. Where the Senior Solutions Architect provides architectural stewardship over the data infrastructure layer, the Senior Data Science Consultant leads to the analytical application layer building sophisticated models, developing Foundry applications, and providing expert consultation on how Mission Assurance data can be exploited to inform senior-leader decisions at enterprise scale. This individual works independently on high-visibility and mission-critical analytical efforts and may oversee the work of Data Analysts, Data Managers, and Workflow Support Specialists on assigned analytical development activities.
Key Responsibilities
  • Lead development and application of advanced data science, AI/ML, statistical modeling, predictive analytics, and automation methods to extract actionable insights from Mission Assurance assessment reports, dependency data, risk records, and related stakeholder documentation.
  • Design, build, and sustain analytical models that support COA analysis, risk prioritization, dependency mapping, mitigation effectiveness evaluation, ROI-based decision support, and enterprise-level Mission Assurance risk visibility.
  • Lead development of Mission Assurance analytical applications within Palantir Foundry, including decision-support tools, risk monitoring applications, COA comparison interfaces, dashboards, and governance preparation products.
  • Support implementation, sustainment, scaling, lifecycle management, documentation, and quality assurance of Mission Assurance data workflows, analytical models, and Foundry applications.
  • Provide senior analytical consultation to AF/A33B on how Mission Assurance data can be structured, modeled, automated, and exploited to improve decision-support products for senior Air Force and Department of War leaders.
  • Develop analytical products, dashboards, monitoring views, and interfaces that provide accurate, timely Mission Assurance information and support integration with relevant Air Force, Joint, or Department of War reporting systems.
  • Aggregate, normalize, prioritize, and analyze Mission Assurance risks and dependencies at enterprise scale to identify trends, systemic vulnerabilities, recurring dependencies, cross-mission risk drivers, and resource implications.
  • Prepare decision-support briefings, risk summaries, analytical products, and COA comparison outputs for Mission Assurance governance forums, including MACBs, SSGs, and senior-leader decision cycles.
  • Coordinate analytical development activities using Government-directed collaboration and task management platforms, including Platform One, Mattermost, Jira, and Confluence, while documenting methods, findings, and product delivery.
  • Provide technical leadership, quality review, knowledge transfer, and analytical guidance to Data Analysts, Data Managers, Workflow Support Specialists, the Program Manager, and the Senior Solutions Architect on assigned data science and application development activities.

Requirements
  • Master's degree
  • Active TS, eligible for SCI
  • More than ten years of professional experience in any career field, discipline, or industry.
  • Ability to perform functional duties independently and provide technical oversight to less senior staff assigned to data science and application development activities.
  • Palantir Foundry Application Developer Certification.
  • Demonstrated experience developing analytical applications within Palantir Foundry or comparable enterprise data platforms, including design, build, testing, sustainment, and documentation of decision-support tools and analytical interfaces.
  • Demonstrated experience applying advanced data science methods, including AI/ML, statistical modeling, predictive analytics, or automation, to operational or mission-focused analytical problems in a Department of
  • Defense environment.
  • Experience developing ROI-based analytical models, COA comparison frameworks, risk prioritization approaches, or comparable decision-support products for senior military or civilian leadership.
  • Experience providing senior analytical consultation to Government program leadership on data science methods, model design, analytical product strategy, and decision-support modernization.

Apply