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Remote Environmental Science Jobs in Madison, NJ

Heritage civil Works

Customer Support Specialist

New York, NY · Remote

$19.75 - $26.50/hr

... and remote collaboration tools (Slack, Zoom, etc.). - Bonus points for background or strong interest in civil engineering, environmental sciences, aerospace, or biotechnology. What We Offer: At ...

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based ... Advanced SAS programming skills (hard requirement) in a clinical trials environment (Base SAS ...

Foth

Client Manager - Contaminated Sediment

New York, NY · On-site +1

Flexible work location (remote or office) with approximately 25% travel . Primary Responsibilities ... Bachelor's degree in Engineering, Environmental Science, Geology, or related field * 10+ years of ...

Foth

Client Manager - Contaminated Sediment

New York, NY · On-site +1

Flexible work location (remote or office) with approximately 25% travel . Primary Responsibilities ... Bachelor's degree in Engineering, Environmental Science, Geology, or related field * 10+ years of ...

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Showing results 41-60

All JobsEnvironmental Science JobsRemote Environmental Science JobsRemote Environmental Science Jobs in Madison, NJ

Remote Environmental Science information

See Madison, NJ salary details

$42.3K

$86.7K

$126.8K

How much do remote environmental science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote environmental science in Madison, NJ is $86,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $101,500.00 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 job categories do people searching Remote Environmental Science jobs in Madison, NJ look for?

The top searched job categories for Remote Environmental Science jobs in Madison, NJ are:

What cities near Madison, NJ are hiring for Remote Environmental Science jobs?

Cities near Madison, NJ with the most Remote Environmental Science job openings:

Remote Environmental Science jobs near you

Senior Cybersecurity Data Science & Analytics Lead

TSG Risk Management

New York, NY • On-site, Remote

$165K - $205K/yr

Full-time

Posted 9 days ago

Key responsibilities

  • Partner with cybersecurity and technology stakeholders to identify, frame, and solve complex analytical problems.

  • Develop analytical products that support meaningful business and security decisions.

  • Lead projects independently from initial problem definition through delivery and communicate findings to technical teams and senior leadership.

Job description

Location:New York City preferred. Candidates located near other major offices, including Charlotte, NC, Los Angeles, CA, and Southern California, will also be considered. Remote candidates are welcome to apply but should be open to periodic travel, potentially once per month, to New York City or another company office.
Work Model:Flexible hybrid or remote
Position Overview
We are seeking a senior-level Cybersecurity Data Science and Analytics Lead to help shape and scale how security data is used across the organization.
This role goes beyond building dashboards. The ideal candidate will partner directly with cybersecurity subject matter experts to understand complex security challenges, frame the right analytical questions, and develop solutions that provide meaningful, actionable insights.
The successful candidate will bring a strong combination of cybersecurity domain knowledge, data science experience, product thinking, and the ability to lead work independently. This individual should be comfortable challenging assumptions, recommending solutions, and translating security needs into scalable analytical products.
Responsibilities
  • Partner with cybersecurity and technology stakeholders to identify, frame, and solve complex analytical problems.
  • Translate security challenges into clear data science, analytics, and engineering solutions.
  • Develop analytical products that support meaningful business and security decisions.
  • Move beyond traditional dashboard delivery by creating reusable data products, self-service capabilities, and scalable analytical solutions.
  • Help determine the best delivery model for security analytics, including dashboards, reusable datasets, advanced analytics, and potential AI-enabled solutions.
  • Provide analytical support across application security and infrastructure security domains.
  • Evaluate security data and determine the appropriate analysis, methodology, and delivery approach.
  • Build trusted relationships with security subject matter experts through practical, applied cybersecurity knowledge.
  • Lead projects independently and take ownership of solutions from initial problem definition through delivery.
  • Communicate findings, recommendations, and technical decisions clearly to technical teams and senior leadership.
  • Contribute to the continued development of the organization's cybersecurity data and analytics strategy.

Required Qualifications
  • Approximately 10 or more years of relevant professional experience, with flexibility based on the depth and quality of the candidate's background.
  • Strong applied cybersecurity experience, particularly within application security and infrastructure security.
  • Advanced data science, analytics, or statistical analysis experience.
  • Experience working with CI/CD toolchains and secure software development lifecycle practices.
  • Knowledge of SaaS and data-as-a-service environments.
  • Experience with cloud-native monitoring and security tools.
  • Familiarity with endpoint protection technologies.
  • Ability to work with security data, frame analytical problems, and determine the appropriate analysis or solution.
  • Experience developing scalable analytical products rather than only producing one-time reports or dashboards.
  • Strong communication and stakeholder-management skills.
  • Ability to work independently, take ownership, and lead projects with limited direction.
  • Experience presenting technical findings and recommendations to leadership.

Preferred Qualifications
  • Experience designing reusable data products or self-service analytics capabilities.
  • Experience applying AI or machine learning to analytics or cybersecurity use cases.
  • Background supporting enterprise information security or CISO organizations.
  • Experience working across cybersecurity engineering and data science teams.
  • Product management or analytical product development experience.
  • Knowledge of security data associated with cloud platforms, applications, infrastructure, and endpoints.

Apply