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Environmental Data Science Jobs in Washington (NOW HIRING)

GDIT

Data Science Analyst

Springfield, VA · On-site

$133K - $180K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Management, Metadata Standards ... Working in an Agile Software Development environment Location: Company Site US Citizenship Required ...

TULK llc.

Data Science SME Mid

Springfield, VA · On-site

$115 - $157.94/hr

Data Science SME Mid Full Time Client Site - Springfield, VA, Springfield, VA, US 8 days ago ... Deliver GEOINT tradecraft learning in classroom, virtual, and mobile training environments. * Help ...

Blend360

Marketing Data Science Manager

Columbia, MD

$125K - $160K/yr

Key Responsibilities Data Science & Analytics * Partner with practice leaders and clients to ... Experience working in Agile environments with cross-functional teams Additional Information The ...

Blend360

Marketing Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

Key Responsibilities Data Science & Analytics * Partner with practice leaders and clients to ... Experience working in Agile environments with cross-functional teams Additional Information The ...

Wri

Senior Water Data Scientist

Washington, DC · On-site +1

The Senior Water Data Scientist will work with an interdisciplinary team across WRI ... A BA or BS degree (Graduate Degree preferred) in a relevant field: environmental science (such as ...

teKnoluxion

Data Science Analyst

Springfield, VA · On-site

$132K - $159K/yr

Overview Data Science Analyst Springfield, VA or St. Louis, MO Active TS (SCI eligibility ... Working in an Agile Software Development environment * Intelligence Community Experience preferred ...

Tulk LLC

Data Science SME Mid

Fort Belvoir, VA · On-site

$115K - $157K/yr

Data Science SME Mid TULK supports U.S. national security customers with cleared experts who ... Deliver GEOINT tradecraft learning in classroom, virtual, and mobile training environments. * Help ...

Summit

Data Science Consultant (Hybrid)

Washington, DC · On-site

$90K - $110K/yr

At Summit, you'll find an environment that empowers you to grow, contribute meaningfully, and do your best work. We are seeking a Data Science Consultant / Senior Data Science Consultant to join our ...

Summit

Data Science Consultant (Hybrid)

Washington, DC · On-site

$90K - $110K/yr

At Summit, you'll find an environment that empowers you to grow, contribute meaningfully, and do your best work.We are seeking a Data Science Consultant / Senior Data Science Consultant to join our ...

Summit

Data Science Consultant (Hybrid)

Washington, DC · On-site

$90K - $110K/yr

At Summit, you'll find an environment that empowers you to grow, contribute meaningfully, and do your best work.We are seeking a Data Science Consultant / Senior Data Science Consultant to join our ...

Booz Allen Hamilton

Data Science Engineer, Lead

Mclean, VA · On-site

$99 - $225/hr

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 ...

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Showing results 21-40

All JobsEnvironmental Data Science JobsEnvironmental Data Science Jobs in Washington

Environmental Data Science information

See Washington salary details

$42.5K

$139K

$222.6K

How much do environmental data science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for environmental data science in Washington is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 per year, depending on experience, location, and employer.

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 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 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.

Is environmental data science a good major?

Environmental Data Science is a relevant major for careers involving analyzing environmental data, modeling ecological systems, and supporting sustainability efforts. It typically combines skills in data analysis, programming, and environmental science, preparing graduates for roles in research, consulting, or government agencies.

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 large datasets related to climate, pollution, and natural resources.

What are popular job titles related to Environmental Data Science jobs in Washington?

For Environmental Data Science jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Environmental Data Science jobs in Washington look for?

The top searched job categories for Environmental Data Science jobs in Washington are:

What cities in Washington are hiring for Environmental Data Science jobs?

Cities in Washington with the most Environmental Data Science job openings:

Environmental Data Science jobs near you
Infographic showing various Environmental Data Science job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

Data Science Analyst

GDIT

Springfield, VA • On-site

$133K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Key responsibilities

  • Build and maintain the Metadata Application Profile (MAP) to enable data discovery and integration across systems.

  • Assess and monitor metadata quality through queries and system interfaces, and respond to metadata discrepancies or issues.

  • Support the creation of design documents for new Data Stores, including metadata fields, service specifications, and standards.

General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

89th of 226 rated it services

Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret/SCI

Clearance Level Must Be Able to Obtain:

Top Secret SCI + Polygraph

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Data Management, Metadata Standards, Visualization

Certifications:

CompTIA Security+ CE | CompTIA - CompTIA

Experience:

5 + years of related experience

US Citizenship Required:

Yes

Job Description:

We are seeking a Data Science Analyst/Engineer to join our Program working with the Data Engineering Team responsible for integrating new Data Stores and building the Metadata Application Profile (MAP) that aligns attributes from various Data Stores into a Search & Retrieval System, enabling discovery of imagery and data for analysis.

This position focuses on metadata maintenance activities for the integration of metadata between systems and the associated API to enable discovery of data across the Enterprise and the Intelligence Community.

Duties:

  • Work closely with the Lead Data Engineer to build and maintain theMAP, assess metadata quality, plan and coordinate metadata enhancement and remediation.
  • Determine/monitor MAP accuracy by conducting queries against data holdings in native systems and using the System User Interface (UI), API, Postgres and Elasticsearch database applications.
  • Support Systems Engineers and Software Developers by creating design documents for new Data Stores which identify the metadata fields, service specifications, volumetrics and standards needed to integrate into the Search and Discovery System.
  • Maintain an ongoing working relationship with government data stewards and system Data Store owners to inform end-user satisfaction and to keep abreast of attribute changes.
  • Investigate and respond to tickets/issues associated with metadata discrepancies or mapping.

Required:

  • At least 5 years of experience with data management, transformation, visualization, analysis, metadata standards, and organization techniques and tools.
  • At least 5 years of experience with search tools, search results organization and the implications of metadata organization, indexing and catalog content.
  • Bachelor's degree in systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Business, Management Information Systems, or related STEM degree program, or an additional 4 years of related data/systems engineering experience.
  • Excellent communication, analytical, problem solving, and organizational skills with the ability to present information and ideas clearly and concisely.
  • Strong technical skills, interest in technology, and the ability to troubleshoot simple technology problems, failures, or deficiencies.
  • Excellent skills with Microsoft office tools (Excel, PowerPoint, Notepad++)
  • Certifications: Security +, Network+, or A+ are preferred. Ability to obtain one of these certifications within 6 months of start date if not currently in hand.
  • Clearance Required: Active TS/SCI clearance with CI Poly

Desired:

  • At least 5 years of experience with customer imagery and data repositories, products, data types, and uses.
  • Knowledge and at least 5 years of experience with GIS-related applications and tools.
  • Comfortable with:
    • Postgres and Elasticsearch (build queries, analyze results)
    • GitLab (review code, recommend data remediation changes)
    • Openshift Container Platform (OCP) (approve merge requests)
    • Working in an Agile Software Development environment

Location: Company Site

US Citizenship Required


GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

The likely salary range for this position is $133,450 - $180,550. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Onsite

Work Location:

USA VA Springfield

Additional Work Locations:

USA MO St. Louis

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

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 virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events at

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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

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