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Remote Environmental Scientist Jobs in Silver Spring, MD

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Collaborate with data engineers to integrate models into production environments, including ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Collaborate with data engineers to integrate models into production environments, including ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Collaborate with data engineers to integrate models into production environments, including ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Collaborate with data engineers to integrate models into production environments, including ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Collaborate with data engineers to integrate models into production environments, including ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Collaborate with data engineers to integrate models into production environments, including ...

Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies ... We're proud to offer a work environment that empowers our team to achieve a strong work-life ...

Remote Work: No Job Number: R0241573 Location: Alexandria,VA,US Share job via: Share Data Scientist ... environments to find the pieces of their information puzzle. You'll guide and mentor your team as ...

The percentage of remote work will vary based on client requirements/deliverables Fun stuff you ... Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S) #NMECDTP ...

Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies ... We're proud to offer a work environment that empowers our team to achieve a strong work-life ...

Showing results 41-60

Remote Environmental Scientist information

See Silver Spring, MD salary details

$42.4K

$87K

$127.2K

How much do remote environmental scientist jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote environmental scientist in Silver Spring, MD is $86,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $101,800.00 per year, depending on experience, location, and employer.

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, typically supported by a relevant bachelor's or master's degree. Proficiency in GIS software, statistical analysis tools, and remote sensing technologies—as well as certifications such as HAZWOPER or GIS Professional—are often required. Strong skills in self-motivation, written communication, and time management help remote scientists excel in independent and collaborative projects. These competencies ensure accurate environmental assessments, effective communication with stakeholders, and timely completion of project objectives in a remote setting.

What is the typical work environment for a remote environmental scientist, and how do they collaborate with other team members?

Remote Environmental Scientists typically work from home or a dedicated remote workspace, using digital tools to conduct data analysis, prepare reports, and communicate with colleagues. Collaboration often takes place through video conferencing, cloud-based project management platforms, and regular virtual team meetings. You may work closely with project managers, field scientists, and regulatory specialists to interpret data and contribute to environmental impact assessments. While the position offers flexibility and independence, it also requires proactive communication to stay aligned with team goals and project timelines.

What is a remote environmental scientist?

A Remote Environmental Scientist works from a remote location to analyze environmental data, assess impacts, and develop solutions for sustainability and conservation. They may conduct virtual assessments, use remote sensing technology, and collaborate with teams online. Common tasks include writing reports, reviewing regulations, and consulting on environmental policies. This role typically requires a degree in environmental science or a related field, along with strong analytical and communication skills.

What are the most commonly searched types of Environmental Scientist jobs in Silver Spring, MD? The most popular types of Environmental Scientist jobs in Silver Spring, MD are:
What are popular job titles related to Remote Environmental Scientist jobs in Silver Spring, MD? For Remote Environmental Scientist jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Remote Environmental Scientist jobs in Silver Spring, MD look for? The top searched job categories for Remote Environmental Scientist jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Environmental Scientist jobs? Cities near Silver Spring, MD with the most Remote Environmental Scientist job openings:
Infographic showing various Remote Environmental Scientist job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $86,965 per year, or $41.8 per hour.

Data Scientist

System One

Mclean, VA • Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 17 days ago


Job description

Job Title: Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal.dinnocenti@systemone.com RESPONSIBILITIES

  • Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions.
  • Design and develop machine learning models and analytical approaches to support search, discovery, and insight generation across structured and unstructured data.
  • Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis.
  • Leverage document-based data (e.g., OCR/ICR outputs, metadata, and free text) to extract insights and support downstream analytics and search solutions.
  • Collaborate with data engineers to integrate models into production environments, including Palantir Foundry, Databricks, and AWS-based platforms.
  • Develop model evaluation frameworks, confidence scoring, and explainability approaches to ensure transparency and usability of AI outputs.
  • Support development of analytics, reporting, and dashboards to drive operational insights and decision-making.
  • Operate within an Agile delivery model, contributing to sprint planning, experimentation, and iterative solution delivery.
  • Communicate findings and recommendations clearly to both technical and non-technical audiences, including client stakeholders.
  • Contribute to solution design, proposal support, and thought leadership in AI/analytics capabilities.
REQUIREMENTS
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • A minimum of 4 years of experience in data science, machine learning, or applied analytics roles.
  • U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance.
  • Experience developing and applying machine learning models, including: Natural Language Processing (NLP), Semantic search or information retrieval, Entity resolution or relationship modeling.
  • Experience working with large-scale structured and unstructured data, particularly document-based datasets (e.g., text, PDFs, images).
  • Experience leveraging metadata and extracted features to support analytics and modeling.
  • Strong proficiency in Python for data science and machine learning (e.g., Pandas, Scikit-learn, PyTorch or TensorFlow) and solid SQL skills.
  • Experience working with Databricks and/or Spark-based environments for scalable data processing.
  • Familiarity with AWS cloud services for data access, processing, or model deployment.
  • Experience working with data lake or lakehouse architectures (e.g., AWS S3, Databricks), including querying and transforming large-scale datasets.
  • Experience integrating models into production environments (e.g., APIs, batch pipelines, or embedded analytics platforms).
  • Understanding of model evaluation, validation, and performance metrics.
  • Strong communication skills and ability to translate analytical outputs into actionable insights.
  • Experience working in cross-functional, matrixed teams in an Agile environment.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. #M1 #LI-CD1 Ref: #851-Rockville-S1