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Entry Level Environmental Data Scientist Jobs in Virginia

Elder Research

Data Scientist

Arlington, VA · On-site

... environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data ...

Elder Research

Data Scientist

Arlington, VA · On-site

... environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Willingness to work full time in a hybrid work environment in theWashingtonDC area. * Bachelor's or Master'sDegree in a technical field (e.g., data science, statistics, computer science, mathematics ...

KDA Consulting Inc

Data Scientist

Mclean, VA · On-site

Support cloud-based model deployment in environments such as AWS or Azure Collaboration & Agile ... Contribute to continuous improvement of data science methodologies and processes Requirements ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Willingness to work full time in a hybrid work environment in the Washington DC area. * Bachelor's or Master's Degree in a technical field (e.g., data science, statistics, computer science ...

KDA Consulting Inc

Data Scientist

Chantilly, VA · On-site

Support cloud-based model deployment in environments such as AWS or Azure Collaboration & Agile ... Contribute to continuous improvement of data science methodologies and processes Requirements ...

KDA CONSULTING INC

Data Scientist

Chantilly, VA · On-site

KDA Consulting Inc. is seeking a highly skilled Data Scientist with AI/ML expertise to support ... environments • Integrate machine learning solutions into enterprise systems and workflows • ...

KDA CONSULTING INC

Data Scientist

Herndon, VA · On-site

KDA Consulting Inc. is seeking a highly skilled Data Scientist with AI/ML expertise to support ... environments • Integrate machine learning solutions into enterprise systems and workflows • ...

KDA CONSULTING INC

Data Scientist

Mclean, VA · On-site

KDA Consulting Inc. is seeking a highly skilled Data Scientist with AI/ML expertise to support ... environments • Integrate machine learning solutions into enterprise systems and workflows • ...

KDA Consulting Inc

Data Scientist

Chantilly, VA · On-site

Support cloud-based model deployment in environments such as AWS or Azure Collaboration & Agile ... Contribute to continuous improvement of data science methodologies and processes Requirements ...

Altus Consulting Corp

Data Scientist

Herndon, VA · On-site

Altus Consulting is seeking a talented Data Scientist to join our team and drive data-driven ... Altus Consulting is dedicated to diversity and inclusion, building a work environment where ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating ... We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the ...

Radiance Technologies

Data Scientist

Dahlgren, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... work environment. We're looking for a Data Scientist to join our Enhanced Modeling and Simulation (M&S) team. In this role, you'll work alongside a multidisciplinary team of software engineers ...

KDA Consulting Inc

Data Scientist

Herndon, VA · On-site

Support cloud-based model deployment in environments such as AWS or Azure Collaboration & Agile ... Contribute to continuous improvement of data science methodologies and processes Requirements ...

Altus Consulting Corp

Data Scientist

Herndon, VA · On-site

Altus Consulting is seeking a talented Data Scientist to join our team and drive data-driven ... Altus Consulting is dedicated to diversity and inclusion, building a work environment where ...

Altus Consulting Corp

Data Scientist

Herndon, VA · On-site

Altus Consulting is seeking a talented Data Scientist to join our team and drive data-driven ... Altus Consulting is dedicated to diversity and inclusion, building a work environment where ...

Radiance Technologies

Data Scientist

Dahlgren, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... work environment. We're looking for a Data Scientist to join our Enhanced Modeling and Simulation (M&S) team. In this role, you'll work alongside a multidisciplinary team of software engineers ...

Elder Research

Data Scientist

Arlington, VA · Hybrid

Experience delivering data-science work in a federal or other regulated environment, with awareness of FedRAMP, FISMA, or similar compliance regimes. * Experience working with human-capital ...

SwiftCruit

Data Scientist

Dahlgren, VA · On-site

$110 - $150/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... work environment. We're looking for a Data Scientist to join our Enhanced Modeling and Simulation (M&S) team. In this role, you'll work alongside a multidisciplinary team of software engineers ...

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Showing results 1-20

All JobsEnvironmental Data Scientist JobsEntry Level Environmental Data Scientist JobsEntry Level Environmental Data Scientist Jobs in Virginia

Entry Level Environmental Data Scientist information

What is the difference between Entry Level Environmental Data Scientist vs Entry Level Environmental Analyst?

AspectEntry Level Environmental Data ScientistEntry Level Environmental Analyst
Required CredentialsBachelor's in Environmental Science, Data Science, or related field; some roles may prefer certifications in data analysis or GISBachelor's in Environmental Science, Environmental Management, or related field; certifications in environmental regulations or GIS are common
Work EnvironmentData-focused roles often in labs, research institutions, or corporate sustainability teamsFieldwork, data collection, and reporting in government agencies, consulting firms, or NGOs
Employer & Industry UsageUsed in research, corporate sustainability, and environmental consultingCommon in government agencies, environmental consulting, and non-profit organizations

While both roles require a background in environmental sciences, the Environmental Data Scientist focuses more on data analysis, modeling, and programming, whereas the Environmental Analyst emphasizes data collection, reporting, and regulatory compliance. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What does an entry level environmental data scientist do?

An Entry Level Environmental Data Scientist collects, analyzes, and interprets environmental data such as air, water, and soil quality. They use statistical methods and programming tools to help identify patterns and trends, supporting research and policy decisions. Often, they work under the guidance of senior scientists to prepare reports, visualize data, and ensure data quality. Their work helps organizations understand environmental impacts and develop solutions for sustainability.

What types of projects and data sets do entry level environmental data scientists typically work with?

As an entry-level environmental data scientist, you will often work with diverse data sets such as air and water quality measurements, climate records, satellite imagery, and GIS data. Projects can include analyzing trends in pollution, modeling the effects of environmental policies, or creating data visualizations to support sustainability initiatives. You’ll collaborate closely with environmental engineers, researchers, and policy teams, often participating in both data cleaning and preliminary analysis before results are shared with stakeholders. This variety provides valuable exposure to real-world environmental issues and lays a solid foundation for career growth.

What are the key skills and qualifications needed to thrive as an entry level environmental data scientist?

To thrive as an Entry Level Environmental Data Scientist, you need a background in environmental science or a related field, along with strong skills in data analysis and statistics. Familiarity with programming languages like Python or R, experience with GIS software, and knowledge of data visualization tools are typically required. Analytical thinking, attention to detail, and effective communication are valuable soft skills that help in interpreting and sharing complex findings. These competencies are crucial for generating reliable insights and informing environmental decision-making within organizations.
What are the most commonly searched types of Environmental Data Scientist jobs in Virginia? The most popular types of Environmental Data Scientist jobs in Virginia are:
What are popular job titles related to Entry Level Environmental Data Scientist jobs in Virginia? For Entry Level Environmental Data Scientist jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Entry Level Environmental Data Scientist jobs in Virginia look for? The top searched job categories for Entry Level Environmental Data Scientist jobs in Virginia are:
What cities in Virginia are hiring for Entry Level Environmental Data Scientist jobs? Cities in Virginia with the most Entry Level Environmental Data Scientist job openings:
Entry Level Environmental Data Scientist jobs near you
Infographic showing various Entry Level Environmental Data Scientist job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Scientist

Elder Research

Arlington, VA • On-site

Full-time

Re-posted 8 days ago

Job description

Data Scientist
General Information
Requisition # 674
Locations USA-VA-Arlington
Posting Date 03/04/2026
Security Clearance Required - IRS MBI
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area.
As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts.
In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication.
Responsibilities include but are not limited to:
  • Prior programming experience, preferably in Python or R, including data exploration, feature engineering, model development, and writing modular, reusable, well-documented code within an iterative development process that includes peer review and collaboration
  • Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation
  • Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science-driven solutions in support of assessments, gap analyses, and actionable recommendations for IRS stakeholders
  • Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models (including audit selection, refund review, and fraud prevention initiatives) that are modular, maintainable, adaptable to evolving government and regulatory requirements, and supported by robustness, sensitivity, and significance testing to ensure defensible and explainable results
  • Apply statistical and machine learning techniques (supervised and unsupervised) to anomaly detection, fraud identification, and non-compliance risk scoring to help prioritize cases based on compliance risk, fraud indicators, and business impact
  • Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches, while demonstrating the ability to work independently in a collaborative, fast-paced environment
  • Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication, translating business and compliance needs into technical solutions with strong interpersonal, written, and verbal communication skills

Minimum Qualifications:
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences
  • 2-10+ years of experience in data science, analytics, or a related technical field
  • Experience using version control systems (e.g., Git) and collaborative development practices
  • Strong understanding of relational databases and SQL
  • Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone
  • Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges
  • Willingness to travel and work on-site at client locations as required by project needs

Preferred Qualifications:
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)
  • Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as Databricks and AWS
  • Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes, as well as graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities
  • Experience with containerization and environment management (e.g., venv, conda)
  • Experience operating in secure or remote government environments, including use of bash and command-line tools

Clearance Requirements:
  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:
  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situation

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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