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Environmental Data Science Jobs in Reston, VA (NOW HIRING)

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

The effective use of data is central to preparing Marine Corps forces for the future operating environment. What if you could apply your data science expertise to help the Marine Corps Warfighting ...

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

The effective use of data is central to preparing Marine Corps forces for the future operating environment. What if you could apply your data science expertise to help the Marine Corps Warfighting ...

Experience in Internal Audit, Risk Management, Model Risk Management, or other highly regulated environments. * Experience applying advanced data science methods such as regression, SVM (support ...

Experience in Internal Audit, Risk Management, Model Risk Management, or other highly regulated environments. * Experience applying advanced data science methods such as regression, SVM (support ...

Experience in Internal Audit, Risk Management, Model Risk Management, or other highly regulated environments. * Experience applying advanced data science methods such as regression, SVM (support ...

Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field ... delivery environments Data Scientist III * Bachelor's degree in Data Science, Statistics ...

Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field ... environments

Data Science Engineer

Mclean, VA · On-site

$116K - $139K/yr

As a Data Science Engineer, you will develop workflows and platforms to transform complex data sets ... environment. • Use your passion to master new tools and techniques and identify needed system ...

Data Science Engineer

Mclean, VA · On-site

$77K - $176K/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 ...

Data Science Engineer

Mclean, VA · On-site

$77K - $176K/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 ...

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 ...

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 ...

Description Data Science Analyst AArete is one-of-a-kind when it comes to consulting firm culture ... Demonstrated ability to learn and adapt quickly in fast-changing AI environments, with passion for ...

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Showing results 1-20

Environmental Data Science information

See Reston, VA salary details

$39K

$127.7K

$204.4K

How much do environmental data science jobs pay per year?

As of Jun 15, 2026, the average yearly pay for environmental data science in Reston, VA is $127,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $141,500.00 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 in research or consulting settings.

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 it later in their careers. Gaining relevant knowledge in programming, statistics, and environmental science can be achieved at any age, and employers often prioritize expertise and problem-solving ability over age-related factors.

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 job categories do people searching Environmental Data Science jobs in Reston, VA look for? The top searched job categories for Environmental Data Science jobs in Reston, VA are:
What cities near Reston, VA are hiring for Environmental Data Science jobs? Cities near Reston, VA with the most Environmental Data Science job openings:

Data Science SME

JCTM, LLC

Quantico, VA • On-site

$119K - $133K/yr

Full-time

Posted 12 hours ago


Job description

The Challenge:

The effective use of data is central to preparing Marine Corps forces for the future operating environment. What if you could apply your data science expertise to help the Marine Corps Warfighting Lab identify opportunities to improve situational awareness, decision-making, and operational effectiveness across the Marine Air-Ground Task Force?

Build Your Career:

At JCTM we value knowledge experience integrity and commitment. Joining our team means becoming part of an organization that empowers individuals prioritizes ethical practices and fosters a culture of collaboration and growth.

Challenging Projects:

As a Data Science Subject Matter Expert with JCTM you will provide technical expertise and leadership in the application of data science methodologies tools and techniques to advance Marine Corps warfighting concepts and capabilities. This position requires a deep understanding of data science principles strong analytical and problem-solving skills and the ability to translate complex data into actionable insights for operational and senior leader audiences. You will support the Marine Corps Warfighting Lab in identifying evaluating and applying emerging data-driven technologies to improve MAGTF effectiveness.

Key Responsibilities:

  • Serve as the primary technical expert on data science methodologies tools and techniques for MCWL projects initiatives experiments and exercises.
  • Identify and evaluate emerging data science technologies and assess their potential application to Marine Corps warfighting challenges.
  • Develop and implement data-driven solutions to improve MAGTF operational effectiveness including predictive analytics machine learning and artificial intelligence applications.
  • Design execute and optimize data collection processing and analysis pipelines while ensuring data quality integrity governance and security.
  • Develop and apply advanced analytical methods to extract meaningful insights from large structured and unstructured datasets.
  • Collaborate with data engineers software developers cloud engineers operational planners and other technical experts to build deploy and evaluate data-driven solutions.
  • Communicate complex technical concepts findings and recommendations to both technical and non-technical audiences including senior military leaders.
  • Conduct research and analysis on relevant data science topics maintaining awareness of the latest developments trends tools and techniques.
  • Support the development of data science training programs and knowledge-sharing activities for Marine Corps personnel.
  • Participate in war games experiments exercises and other operational assessments to evaluate the effectiveness of data-driven capabilities.
  • Provide expert advice and guidance on data governance data security data privacy and responsible use of artificial intelligence and machine learning capabilities.
  • Maintain awareness of and compliance with all applicable data security regulations policies and classification requirements.
  • Integrate data science capabilities with cloud-based infrastructure platforms and modern analytics environments.
  • Travel to various locations as required to support MCWL projects initiatives experiments and operational activities.

State-of-the-Art Technology:

Expand your expertise by working with cutting-edge technologies and methodologies optimizing their application in a dynamic environment.

New Skills:

Collaborate with a diverse team of technical and functional experts gaining practical experience with advanced tools technologies and strategic-level implementations.

Room to Grow:

You will have opportunities to grow your career and contribute to the company's strategic goals supported by mentorship and a collaborative work environment.

You Have:

  • Bachelor's degree in Computer Science Data Science Mathematics Statistics or a related technical field.
  • 5+ years of experience applying data science methodologies tools and techniques to solve real-world problems.
  • Demonstrated expertise in data mining machine learning statistical modeling predictive analytics and data visualization.
  • Experience working with large datasets distributed computing platforms and modern analytics environments.
  • Strong understanding of data governance data security privacy principles and responsible data management.
  • Experience developing data pipelines analytical workflows and repeatable processes to support decision-making.
  • Ability to translate complex data and technical findings into actionable insights for operational technical and senior leader audiences.
  • Excellent communication presentation analytical and interpersonal skills.
  • Ability to work independently and as part of a multidisciplinary team in a mission-focused environment.
  • Knowledge of the Marine Corps MAGTF organization operations and warfighting concepts.
  • U.S. Citizenship.
  • Ability to travel up to 25% in support of mission requirements.

Nice to Haves:

  • Active TS/SCI security clearance.
  • Master's or Doctoral degree in Computer Science Data Science Mathematics Statistics Operations Research or a related technical field.
  • Experience with cloud-based data science platforms and cloud-native analytics tools.
  • Experience with artificial intelligence machine learning model development and deployment.
  • Experience with natural language processing.
  • Prior military experience particularly within the Marine Corps.
  • Familiarity with Marine Corps data systems processes experimentation environments and operational planning activities.

Clearance:

Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information; TS/SCI clearance is desired.

Equal Opportunity Employer Statement:

JCTM is an Equal Opportunity Employer that empowers our people to fearlessly drive internal and external change while supporting the safety and security of our great nation.