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Environmental Data Science Jobs in Silver Spring, MD

VTG

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 ...

Fanniemae

Audit Data Science Advisor

Washington, DC

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 ...

Fanniemae

Audit Data Science Advisor

Reston, VA

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 ...

VTG

Data Scientist

Chantilly, VA

$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 ...

INTECON

Senior Data Science Consultant

Washington, DC · On-site

Demonstrated experience developing and deploying AI/ML models in operational environments * Proficiency with Python, R, or similar data science programming languages * Experience with machine ...

US Department of Commerce

Data Scientist

Greenbelt, MD · On-site

$147K/yr

... National Environmental Satellite, Data, and Information Service (NESDIS), National Centers for ... Mathematics, statistics, computer science, data science or field directly related to the position.

US Department of Commerce

Data Scientist

Suitland, MD · On-site

$147K/yr

... National Environmental Satellite, Data, and Information Service (NESDIS), National Centers for ... Mathematics, statistics, computer science, data science or field directly related to the position.

US Department of Commerce

Data Scientist

Lanham, MD · On-site

$147K/yr

... National Environmental Satellite, Data, and Information Service (NESDIS), National Centers for ... Mathematics, statistics, computer science, data science or field directly related to the position.

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All JobsEnvironmental Data Science JobsEnvironmental Data Science Jobs in Silver Spring, MD

Environmental Data Science information

See Silver Spring, MD salary details

$38.8K

$126.9K

$203.1K

How much do environmental data science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for environmental data science in Silver Spring, MD is $126,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,800.00 and $140,600.00 per year, depending on experience, location, and employer.

Is environmental data science a good major?

Environmental data science is a strong major for those interested in analyzing environmental data, using tools like GIS and statistical software. It prepares students for roles in environmental monitoring, research, and policy, often requiring skills in programming, data analysis, and environmental science. Job prospects are growing as organizations seek data-driven solutions to environmental challenges.

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.

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.

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 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 Silver Spring, MD? The most popular types of Environmental Data Science jobs in Silver Spring, MD are:
What are popular job titles related to Environmental Data Science jobs in Silver Spring, MD? For Environmental Data Science jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Environmental Data Science jobs in Silver Spring, MD look for? The top searched job categories for Environmental Data Science jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Environmental Data Science jobs? Cities near Silver Spring, MD with the most Environmental Data Science job openings:
Environmental Data Science jobs near you
Infographic showing various Environmental Data Science job openings in Silver Spring, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $126,884 per year, or $61 per hour.

Director of Data Science

Redhorse Corporation

Arlington, VA • On-site

Full-time

Re-posted 25 days ago

Job description

Director of Data Science
About the Organization
Now is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private, state, and federal customers in the areas of cultural and environmental resources services, climate and energy change, information technology, and intelligence services. We are hiring creative, motivated, and talented people with a passion for doing what's right, what's smart, and what works.
Positions Description
Redhorse Corporation is seeking to hire a Director for our growing Data Science team. The ideal candidate must be able to lead, manage and develop a multi-disciplinary data science team and collaborates with customer stakeholders, business leaders, design teams and infrastructure and software engineers to develop solutions using various types of Artificial Intelligence, including Natural Language Processing and Machine Learning, to enable data-driven decisions, predictions (will happen) and prescriptions (should do). The Director advises corporate leadership on Data Science strategy, methodology, tools, techniques and mission alignment including collaboration with the Director of Solutions Design to create practical methods to understand customer preferences as well as work closely with cross-functional groups to comprehend these challenges, prototype new ideas and new technologies, and help create solutions to drive the next wave of innovation.
The Director of Data Science will:
  • Provide Data Science as a service to internal (corporate) and external customers.
  • Consult with potential customers and corporate business executives, capture leaders, and program managers to help identify, qualify, capture and execute data science projects.
  • Mentor, train and manage the work of corporate data scientists; informally mentor and advise data scientists dedicated to customer engagements, and manage the Data Science community of practice.
  • Work in partnership with software and infrastructure engineers to design and manage Data Science and DevOps pipelines and related corporate standards and to drive rapid prototyping and delivery of features using continuous integration and deployment.
  • Perform or assist in various project management tasks relating to the Data Science portfolio.
Minimum basic requirements for the Director of Data Science include:
  • Master’s Degree in Data Science or related field
  • 5+ years of experience in data procurement, processing and manipulation, transformation, and mathematical and statistical analysis
  • 5+ years of experience building executive level visualizations using industry standard tools like Tableau and ArcGIS
  • 5+ years of experience with using Relational, NoSQL, and graph databases such as MySQL, MongoDB, and Neo4j to store, update, and query large volumes of information
  • 2 years of experience leading complex data science projects from conception to execution
  • 2 years of experience building, mentoring and managing teams of data scientists
  • Experience with Natural Language Understanding to provide basic insights into unstructured and semi-structured datasets
  • Ability to create conceptual models, such as Type Systems, to define main concepts or entity types along with their respective relations within a corpus of knowledge
  • Experience with software configuration management, methods, and tools including GitHub or Jira
  • Familiarity with at least two of the following: Python, JavaScript, PHP, VBScript, Matlab, HTML/CSS or SQL
Preferred Requirements:
  • Ability to lead development efforts utilizing DevOps and Agile Methodologies
  • Basic understanding of how to integrate with Cloud-based services such as AWS, IBM (BlueMix/Cloud), and Azure
  • Experience with data ingestion from a variety of sources, leveraging standards-based interfaces such as SOAP/REST web services
  • Familiarity with metadata extraction technologies such as GROBID and Apache Tika
  • Familiarity with data structures, algorithms, and modular application design
  • Experience with solutions for full–text search, hit highlighting, and faceted search, including SOLR or ElasticSearch
  • Ability to learn technical concepts quickly and communicate with multiple functional groups
The work environment for this position requires an individual to be able to:
  • Work sitting or standing at a desk or conference table for extended periods of time with the ability to shift positions while working: sit, stand, pace, adjust positioning in any of those without issue
  • Walk in the office to collaborate with co-workers, attend meetings or retrieve documents from printer
  • Ability to carry up to 10 pounds
Executive Order Requirement:
In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new hires to be fully vaccinated for COVID-19 by December 8, 2021 or prior to the first date of employment, whichever is later. As required by the Executive Order, Redhorse will work in coordination with applicable contract agencies to consider requests for Reasonable Accommodations.
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
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