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Environmental Data Science Jobs in Silver Spring, MD

Here, you'll work with a multi-disciplinary team of analysts, data scientists, data engineers, developers, and data consumers in a fast-paced and agile environment. As a Data Science Engineer at Booz ...

Here, you'll work with a multi-disciplinary team of analysts, data scientists, data engineers, developers, and data consumers in a fast-paced and agile environment. As a Data Science Engineer at Booz ...

Data Science Engineer

Mclean, VA · On-site

$77.60K - $176K/yr

Here, you'll work with a multi-disciplinary team of analysts, data scientists, data engineers, developers, and data consumers in a fast-paced and agile environment. As a Data Science Engineer at Booz ...

Overview The Graphics Artist Intermediate provides comprehensive graphics support for the task order for US Army Combat Capabilities Development Command (DEVCOM); Command, Control, Communications ...

Deploy and monitor machine learning models in production environments * Continuously improve model performance and accuracy * Stay current with emerging data science techniques, tools, and ...

Deploy and monitor machine learning models in production environments * Continuously improve model performance and accuracy * Stay current with emerging data science techniques, tools, and ...

Deploy and monitor machine learning models in production environments * Continuously improve model performance and accuracy * Stay current with emerging data science techniques, tools, and ...

... environments. You will work directly with government clients, program managers, and technical teams ... You will contribute across the full data science lifecycle, from problem formulation and data ...

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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 May 28, 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.

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 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 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 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 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:
Infographic showing various Environmental Data Science job openings in Silver Spring, MD as of May 2026, with employment types broken down into 77% Full Time, 9% Part Time, and 14% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $126,884 per year, or $61 per hour.
Data Science Engineer

$77.60K - $176K/yr

Other

Medical, Life, Retirement, PTO

Posted 10 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

8th of 57 rated business consultants


Job description

Job Number: R0240303
Data Science Engineer
The Opportunity:
As a Data Science Engineer, you'll help build advanced technology solutions and implement data science and engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop workflows, pipelines, and platforms that organize and make disparate data meaningful, turning these complex data sets into useful information to solve global challenges. Here, you'll work with a multi-disciplinary team of analysts, data scientists, data engineers, developers, and data consumers in a fast-paced and agile environment.
As a Data Science Engineer at Booz Allen, you'll also use your passion to master new tools and techniques and identify needed system improvements. You'll help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies, make sure the solution developed by the team considers the current architecture and operating environment, as well as future functionality and enhancements.
Work with us as we shape systems for the better.
Join us. The world can't wait.
You Have:
  • 4+ years of experience with python, SQL, ETL, and data pipelines
  • Experience with containers or container orchestration technologies, such as Kubernetes
  • Experience with data engineering concepts and implementations
  • Experience writing source code for new applications or generating and enhancing code samples for existing applications
  • Experience creating solutions to complex problems within a collaborative and cross-functional team
  • TS/SCI clearance with a polygraph
  • Bachelor's degree

Nice If You Have:
  • 1+ years of experience with Spark, containerization, ELK, or OpenSearch
  • Experience acquiring client requirements and designing and recommending solutions based upon these requirements
  • Experience with AWS technologies, including AWS or S3
  • Experience with infrastructure as code languages, such as Terraform

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914