2

Remote Environmental Science Jobs in Baltimore, MD

Current undergraduate or graduate student studying public health, data science, social sciences, or ... Ability to work independently in a remote environment and stay on top of assigned tasks. Preferred ...

Comfort working independently in a fully remote, digital-first environment. * Attention to detail and commitment to scientific accuracy. Preferred Qualifications: * Prior experience developing or ...

... work environment. This is a fully remote, full-time position. ArcheSys is a technology firm ... Bachelor's degree in Computer Science, Engineering, or a related field. * Minimum of 3 years of ...

Showing results 41-60

Remote Environmental Science information

See Baltimore, MD salary details

$40.7K

$83.6K

$122.2K

How much do remote environmental science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote environmental science in Baltimore, MD is $83,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $97,900.00 per year, depending on experience, location, and employer.

What is a remote environmental science job?

A remote environmental science job is a position that allows professionals to work from locations outside of a traditional office or laboratory setting, often from home or while traveling. These roles typically involve tasks such as data analysis, report writing, remote sensing, consulting, and environmental monitoring using digital tools. Remote environmental scientists contribute to research, policy, and project management without needing to be physically present at field sites, although occasional site visits may be required. This flexibility allows for better work-life balance and can open opportunities to collaborate with global teams. Remote roles are increasingly common as technology enables more scientific work to be conducted virtually.

How do remote environmental science professionals typically collaborate with field teams and other stakeholders?

Remote environmental science professionals often rely on digital communication tools, such as video conferencing, cloud-based data sharing, and collaborative project management platforms, to stay connected with field teams and stakeholders. They may participate in regular virtual meetings to discuss project updates, analyze collected data, and coordinate research activities. Effective communication and strong organizational skills are essential to ensure alignment and successful project outcomes, even when team members are dispersed across different locations. Building strong professional relationships remotely and staying proactive in communication helps overcome challenges associated with working outside a traditional office or field setting.

What are the key skills and qualifications needed to thrive as a remote environmental scientist, and why are they important?

To thrive as a Remote Environmental Scientist, you need a solid background in environmental science, data analysis, and report writing, usually supported by a relevant degree. Familiarity with GIS software, remote sensing tools, and environmental modeling systems is typically required, along with certifications like GIS Professional (GISP) or LEED accreditation. Strong communication, problem-solving, and self-management skills are crucial for collaborating with remote teams and stakeholders. These competencies enable effective environmental assessments, data-driven decision-making, and successful project outcomes from a remote work environment.

What is the difference between Remote Environmental Science vs Remote Environmental Technician?

AspectRemote Environmental ScienceRemote Environmental Technician
Required CredentialsBachelor's or higher in environmental science or related field; certifications varyAssociate's or bachelor's in environmental technology or related field; certifications may include safety or technical training
Work EnvironmentPrimarily office-based or remote; fieldwork may be occasionalMostly remote with some field site visits or technical tasks
Employer & Industry UsageEnvironmental consulting firms, government agencies, research institutionsEnvironmental service companies, government agencies, industrial firms
Common Search & ComparisonRemote Environmental ScienceRemote Environmental Technician

Remote Environmental Science roles focus on research, data analysis, and environmental planning, often requiring higher education and offering more analytical responsibilities. In contrast, Remote Environmental Technicians handle technical tasks, site assessments, and field data collection, typically with technical certifications. Both roles are vital in environmental projects but differ in scope, credentials, and daily tasks.

What are the most commonly searched types of Environmental Science jobs in Baltimore, MD?

The most popular types of Environmental Science jobs in Baltimore, MD are:

What are popular job titles related to Remote Environmental Science jobs in Baltimore, MD?

For Remote Environmental Science jobs in Baltimore, MD, the most frequently searched job titles are:

What cities near Baltimore, MD are hiring for Remote Environmental Science jobs?

Cities near Baltimore, MD with the most Remote Environmental Science job openings:

Infographic showing various Remote Environmental Science job openings in Baltimore, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $83,588 per year, or $40.2 per hour.

Data Scientist, Level 1

WOOD Federal Solutions

Fort George G Meade, MD โ€ข On-site, Remote

$138K - $152K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

Overview

Data Scientist, Level 1

woodfederalsolutions.com

Location: Fort Meade, Maryland, USA

Job Type:ย Full-Time

Shift: Day

Telework: None

Salary Range: **$138,200 to $152,000 per year

** Starting salary is based on minimum education and years of experience and increases based on education and/or experience.

Overview: We're seeking a Data Scientist who turns complex data into clear, actionable insight. In this role, you will design and prototype machine learning, statistical, graphbased, and datamining algorithms to analyze diverse datasets. You'll compare candidate models with rigorous performance metrics, build experiments or synthetic datasets when real data is limited, and translate findings into concise reports and visualizations for customers. Working closely with subject matter experts, you'll convert manual analyses into automated analytics and implement prototype algorithms within production frameworks so insights flow directly into analyst workflows. Join us to shape decisions with data-grow your expertise, build productiongrade analytics, and accelerate your career at the intersection of AI and mission impact.

Security Clearance Requirements:

This position requires all candidates to beย U.S. Citizensย andย possess an active TS/SCI Security Clearance with a Polygraph.

Responsibilities
  • Produce data visualizations that provide insight into dataset structure and meaning.
  • Collaborate with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs).
  • Incorporate SME input into feature vectors suitable for analytic development and testing.
  • Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.
  • Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.
  • Develop statistical tests to make data-driven recommendations and decisions.
Qualifications

Required Education & Years of Experience:

  • Requires a Bachelor's degree in a relevant discipline (e.g., statistics, mathematics, operations research, and engineering or computer science) from an accredited college or university, and four (4) years of experience analyzing datasets and developing analytics and two (2) year of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
    • A Master's degree in relevant discipline may be substituted for two (2) years of relevant experience analyzing datasets anddeveloping analytics, and one (1) year of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.
    • In lieu of a Bachelor's Degree, an additional four (4) years of relevant experience may be substituted for a total of eight (8) years of relevant experience analyzing datasets and developing analytics, and two (2) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
About WOOD

Fringe Benefits:

  • Health Insurance:ย Comprehensive medical, dental, and vision plans.
  • Retirement Plan:ย 401(k) with company match.
  • Paid Time Off:ย Generous PTO policy including vacation, sick leave, and holidays.
  • Professional Development:ย Opportunities for training, certifications, and career advancement.
  • Work-Life Balance:ย Flexible work schedules and remote work options.
  • Wellness Programs:ย Employee assistance programs, wellness initiatives, and gym membership discounts.

Why Join Us?

  • Career Growth:ย Take advantage of professional development opportunities and career advancement. As a vital part of impactful projects, you will have the chance to drive innovation and shape the future of government systems engineering.

  • Supportive Environment:ย Work in a collaborative and flexible environment that values work-life balance. Join a team of top-tier professionals and engage in dynamic, cross-functional collaboration. Your strategic mindset and proactive approach will be highly valued and supported.

  • Competitive Compensation:ย Enjoy a competitive salary and comprehensive benefits package. We recognize and reward your expertise and dedication to excellence.

WOOD Federal Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Employment Type: OTHER