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Virtual Environmental Scientist information

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$41K

$84.1K

$123K

How much do virtual environmental scientist jobs pay per year?

As of Jul 13, 2026, the average yearly pay for virtual environmental scientist in the United States is $84,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What does a typical workday look like for a Virtual Environmental Scientist?

As a Virtual Environmental Scientist, your day often includes analyzing environmental data, preparing technical reports, and conducting virtual meetings with project teams or clients. You’ll use remote sensing tools and geographic information systems (GIS) to assess environmental impacts or monitor ongoing projects from your home office. Collaboration is often done via digital communication platforms, and you may participate in remote site assessments or data reviews. Flexibility, time management, and proactive communication are key to success in balancing multiple virtual projects and meeting client deadlines.

What is a Virtual Environmental Scientist job?

A Virtual Environmental Scientist works remotely to assess and analyze environmental data, conduct research, and provide recommendations for sustainability and compliance. They may use digital tools, GIS mapping, and remote sensing to evaluate environmental impacts. Their role often involves collaborating with teams, preparing reports, and advising businesses or government agencies on environmental best practices. This position allows professionals to work from anywhere while contributing to environmental conservation and policy development.

What are the key skills and qualifications needed to thrive in the Virtual Environmental Scientist position, and why are they important?

A Virtual Environmental Scientist typically possesses a degree in environmental science or a related field, solid analytical skills, and experience with data collection and interpretation. Familiarity with GIS software, remote sensing tools, and environmental modeling platforms, along with certifications such as GISP or HAZWOPER, is highly valued. Strong written communication, critical thinking, and self-motivation are essential soft skills for this remote role. These skills enable accurate analysis, effective collaboration, and impactful solutions to real-world environmental challenges, even when working virtually.

More about Virtual Environmental Scientist jobs
What cities are hiring for Virtual Environmental Scientist jobs? Cities with the most Virtual Environmental Scientist job openings:
What are the most commonly searched types of Environmental Scientist jobs? The most popular types of Environmental Scientist jobs are:
What states have the most Virtual Environmental Scientist jobs? States with the most job openings for Virtual Environmental Scientist jobs include:
What job categories do people searching Virtual Environmental Scientist jobs look for? The top searched job categories for Virtual Environmental Scientist jobs are:
Virtual Environmental Scientist jobs near you
Infographic showing various Virtual Environmental Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $84,123 per year, or $40.4 per hour.

Data Scientist - AI/ML (DCO)

Gormat

Annapolis Junction, MD

Full-time

Posted 16 days ago

Job description

What You'll Be Doing:

  • Perform/utilize statistics, machine learning, and analytic approaches to answer key intelligence questions, producing results and re-usable products that provide real value to Intelligence Analysts.
  • Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build and optimize classifiers, create automated anomaly detection systems, and automate steps of a process.
  • Evaluate statistical models to determine the validity of analyses, implement evaluated models into production by collaborating with software developers, periodically re-evaluate and refine machine learning models being used in production.
  • Curate and collect data from a variety of traditional and non-traditional sources: extract data from sources, transform and integrate data in line with existing data, and load data into data stores for access by others.
  • Collaborate with Data Scientists to develop processes and tools to monitor and analyze model performance and data accuracy.
  • Work with analysts to interpret analytic results and refine analysis as needed.
  • Effectively communicate results and ideas to key decision makers, analysts and other stakeholders and shall provide information as appropriate.
  • Perform documentation of all processes, models and activities by developing, documenting, and implementing a configuration management plan for data sets.
  • Research latest data science tradecraft and technology.

What Required Skills You'll Bring:

  • Active TS SCI with polygraph required for consideration
  • Bachelor's degree in relevant field and 8 years of experience; an advanced degree will be considered in lieu of years of experience
  • Three or more years of Defensive Cyber Operations experience
  • Three or more years of Machine Learning techniques and statistical model evaluation

What Desired Skills You'll Bring:

  • Master's degree in relevant field and 4 years of experience
  • Demonstrated proficiency with R or Python and SQL to manipulate data and draw insights from large and small data sets
  • Exposure to AWS (Amazon Web Services), Cisco CCNA, STIGs IAVA, Big Data Platform (BDP)
  • Strong background and skills in Linux Ubuntu CentOS RHEL, Windows, and virtual environments
  • A problem solver who can get in, be given a project, and use engineering skills to determine a solution
  • Python, Jupyter Notebooks, Network Analysis Tools

TS/SCI with polygraph is required.

Apply