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Environmental Data Science Jobs in Virginia (NOW HIRING)

Environmental Data Analyst

Hampton, VA · On-site

$72K - $82K/yr

Bachelor's degree in environmental sciences, computer sciences, data science, mathematics, or equivalent fields related to utilities, energy/water management, and/or engineering. * Minimum of 4-5 ...

New

Support cloud-native and hybrid data environments leveraging AWS, Azure, Kubernetes, and modern ... Strong proficiency in Python and experience with modern data science and engineering frameworks.

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 Scientist

Chantilly, VA · On-site

$105K - $215K/yr

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 ... delivery environments Data Scientist III * Bachelor's degree in Data Science, Statistics ...

DATA ENGINEER - DATA SCIENCE TEAM Location: Newport News, Virginia, United States Date: Jun 27 ... scalable data environments (data lakes, warehouses, streaming platforms) with a focus on ...

DATA ENGINEER - DATA SCIENCE TEAM Location: Newport News, Virginia, United States Date: Jun 27 ... scalable data environments (data lakes, warehouses, streaming platforms) with a focus on ...

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 ...

Data Science SME Mid

Fort Belvoir, VA · On-site

$115K - $157K/yr

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

Apply advanced data science techniques across the full model lifecycle: * Design, training ... Manage and prioritize multiple projects in a fast-paced environment * Foster both technical and ...

Senior Manager, Data Science

Richmond, VA · On-site

$138K - $221K/yr

Apply advanced data science techniques across the full model lifecycle: * Design, training ... Manage and prioritize multiple projects in a fast-paced environment * Foster both technical and ...

The Data Scientist will play a critical role in leveraging advanced data analytics, machine ... Ability to work collaboratively in a fast-paced, mission-driven environment. * Security Clearance:

The Data Scientist will play a critical role in leveraging advanced data analytics, machine ... Ability to work collaboratively in a fast-paced, mission-driven environment. * Security Clearance:

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Showing results 1-20

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 Jul 13, 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.

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 Virginia? The most popular types of 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:
Infographic showing various Environmental Data Science job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,686 per year, or $58.5 per hour.
Environmental Data Analyst

Environmental Data Analyst

HSG, LLC

Hampton, VA • On-site

$72K - $82K/yr

Full-time

Posted 5 days ago

New


Job description

General Description

Under the guidance of the Project Manager, the Environmental Data Analyst will provide data-related energy and water conservation support to NASA’s Langley Research Center (Langley). In addition, this position will provide the practical expertise necessary to ensure that our customers are in compliance with applicable laws, NASA policies, Executive Orders, and Langley’s energy and water goals.

How You Will Fulfill Your Mission

    • Utilize various data management tools and applications to perform data entry, quality control/assurance, verification, analysis, and reporting.
    • Provide support in utility and industrial electricity billing management, including review and extrapolation of billing data.
    • Collect, calculate, review, and analyze trends in utility energy and water utilization data (with and without meters) at a campus-wide level and for individual industrial facilities.
    • Identify and interpret patterns, trends, and correlations within utility, energy, and other data sets, including key metrics, such as cost, consumption, and reduction. Use data visualization and reports to communicate and explain findings.
    • Examine equipment, facilities, and operations, such as wind tunnels and other industrial facilities, and provide data visualization and consultation on opportunities for improving energy and water efficiency.
    • Champion continuous improvement in customer’s operational performance while providing suggestions on meeting potential anticipated future optimization and efficiency requirements.
    • Assist with preparing training, marketing materials, and other outreach to broaden knowledge of energy/data management topics and services both internally and externally.
    • Provide technical and administrative support to various customer stakeholders, efficiency strategies, and initiatives.
    • Update energy management and efficiency planning documents.
    • Prepare agendas, presentation materials, handouts, and notes for quarterly, annual, and ad hoc meetings attended by varying levels of management.
    • Support the team and customer with the integration of or transition to new environmental data platforms, such as EnergyCAP, Hazardous Materials Management System (HMMS), etc.
    • Support the team with ad hoc data requests, including spreadsheet creation or data cleaning for training attendance, deliverable deadlines, permit data, and other environmental data needs.
    Assist with the identification, development, cost estimation, implementation, measurement and verification of savings for energy efficiency and water conservation projects and initiatives

The duties and responsibilities described in this position description in no way state or imply that these are the only duties performed. This position may require that additional duties and responsibilities be performed.

Why We Value You

  • You are able to work independently and show a high level of initiative and attention to detail.
  • You have a consistent character and do not yield to pressure to compromise or cut corners.
  • You have a strong ability to communicate effectively with superiors, colleagues, and customers by clearly expressing your intent and understanding the focus and purpose of the conversation while allowing each person to get their point across.
  • You are open to new ideas and innovations and can create modifications or changes in yourself to adapt or suit a new environment/situation.
  • You have faith in your own ideas and ability to be successful.
  • You hold yourself to the highest standard and work to inspire your team to produce quality work.

Specific Knowledge/Certification Requirements

Minimum Qualifications:

  • Bachelor’s degree in environmental sciences, computer sciences, data science, mathematics, or equivalent fields related to utilities, energy/water management, and/or engineering.
  • Minimum of 4-5 years of related experience within energy/utility management, environmental data analysis, data analytics, or a combination of related fields and duties as described above.
  • Strong proficiency with Microsoft Excel, including transformation of raw data into summarized formats.
  • Demonstrated ability to learn and utilize tools such as Power Bi, SharePoint Lists, and online reporting software.
  • Strong technical writing skills.

Preferred Qualifications:

  • Experience in energy metering, monitoring, and analysis tools, with general familiarity with platforms such as Energy Star Portfolio Manager, PI Vision, or EnergyCAP.
  • Ability to perform basic programming, such as Excel macros, Power Automate, and other usage of Microsoft VBA.
  • Experience using GIS-based tools, building automation applications and systems, metering data interfaces, and creation/manipulation of energy/utility dashboards.
  • Knowledge of HVAC, lighting, industrial plant equipment (e.g., compressors, pumps, cooling towers, chillers, etc.), mechanical systems, and energy management.

Working Conditions

The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions.

  • Physical Demands: While performing the duties of this job, the employee may be required to walk, sit, or stand for extended periods of time; reach with hands and arms; balance; stoop; talk or hear; have sufficient manual dexterity to operate a keyboard, calculator, telephone, and other such office equipment as necessary; may occasionally move and/or lift up to 50 pounds or more with assistance. Specific visual abilities required by the job include close vision, distant vision, color vision, peripheral vision, depth perception, and the ability to adjust and focus.
  • Work Environment: Work will mainly be performed in an office setting and occasionally with irregular hours.
  • Travel: A low to moderate amount of travel away from office may be required.