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Environmental Data Science Jobs in Reston, VA (NOW HIRING)

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 ...

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 ...

Tulk LLC

Data Science SME Senior

Fort Belvoir, VA · On-site

$120K - $171K/yr

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

Booz Allen Hamilton

Lead Data Science Engineer

Mclean, VA · On-site

$99K - $225K/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 ...

VTG

Data Scientist

Herndon, VA · On-site

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

VTG

Data Scientist

Chantilly, VA

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

Two Six Technologies

Data Scientist

Arlington, VA · On-site

... Environment. In this role, you will work autonomously to find creative solutions and tackle ... As a part of the Data Science team you'll have opportunities to work on projects that expand your ...

VTG

Data Scientist

Mclean, VA · On-site

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

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Showing results 21-40

All JobsEnvironmental Data Science JobsEnvironmental Data Science Jobs in Reston, VA

Environmental Data Science information

See Reston, VA salary details

$39.1K

$127.9K

$204.8K

How much do environmental data science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for environmental data science in Reston, VA is $127,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $141,700.00 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 popular job titles related to Environmental Data Science jobs in Reston, VA? For Environmental Data Science jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Environmental Data Science jobs in Reston, VA look for? The top searched job categories for Environmental Data Science jobs in Reston, VA are:
What cities near Reston, VA are hiring for Environmental Data Science jobs? Cities near Reston, VA with the most Environmental Data Science job openings:
Environmental Data Science jobs near you
Infographic showing various Environmental Data Science job openings in Reston, VA 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 $127,927 per year, or $61.5 per hour.

Data Science Consultant (Hybrid)

Summit | Careers

Washington, DC • Hybrid

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

Data Science Consultant

Location

  • Washington, DC Area (Hybrid)

Summit is a specialized analytics firm that uses economics, statistics, and analytics to solve complex challenges for federal, state, and private-sector clients. Our work in federal infrastructure finance, transaction advisory services, evidence-based program evaluation, modernization, and enforcement and litigation analytics helps make government effective for the public good.

We are committed to fostering a collaborative workplace built on diverse perspectives, continuous learning, and trust. 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 team, which partners with clients to transform complex data into actionable insights through modern analytics, machine learning, and data-driven decision support. Successful candidates will be comfortable moving between exploratory data analysis, machine learning, cloud-based ETL development, and modern software development practices to deliver production-ready analytical solutions.

Primary Duties

  • Conduct exploratory data analysis to identify trends, patterns, anomalies, and actionable insights from complex datasets.
  • Ability to translate ambiguous business or policy questions into structured analytical approaches and actionable insights.
  • Develop compelling data visualizations and communicate analytical findings through presentations, dashboards, and written summaries for technical and nontechnical audiences.
  • Apply statistical methods and machine learning techniques to solve business and policy problems, including segmentation, predictive modeling, and pattern detection.
  • Rapidly investigate emerging business questions through iterative data analysis and hypothesis testing.
  • Design scalable, repeatable analytics and data engineering workflows that support production-ready analytical solutions.
  • Mentor junior staff in data science and software development best practices.
  • Contribute to technical responses for data science proposals.

Minimum Technical Requirements

  • S. citizenship and ability to obtain a Public Trust clearance
  • 5+ years total experience in data science including data preprocessing, data visualization, statistical techniques and concepts, and data management.
  • Experience using AI-assisted development tools (e.g., GitHub Copilot) in conjunction with strong Python and/or R programming skills to accelerate data analysis, analytical workflow development, and visualization while validating results.
  • 4+ years of experience programming in Python and/or R, including the ability to review, modify, and validate code.
  • 2+ years of consulting experience with project management skills.
  • Experience developing analytical solutions in cloud environments (e.g., AWS or Azure), including data storage, ETL pipelines, and cloud-based analytics services.
  • Experience using version control (e.g., Git).
  • Bachelor's degree.

Preferred Skills

  • SQL
  • Experience with cloud-native-data platforms and services (e.g., Amazon S3, AWS Glue, Athena, Redshift, Azure Data Factory, etc.)
  • Experience deploying and maintaining code using Git-based workflows and CI/CD (e.g. GitHub Actions, GitLab pipelines, Azure DevOps)
  • Experience with machine learning techniques such as clustering, classification, or anomaly detection
  • Experience supporting data-driven decision making for government, regulatory, or policy organizations
  • Tableau

Compensation and Benefits

Full-Time Salary Range: $90,000-110,000

This range reflects our market-based pay structure. Individual compensation is determined by factors including business needs, local market conditions, internal equity, and candidate qualifications (skills, education, experience).

We support our employees' health, financial well-being, and work-life balance. Full-time employees are eligible for:

  • Medical, dental, and vision insurance
  • Health Savings Account (HSA) options
  • 401(k) with 4% employer match
  • Disability, life, and accident insurance
  • Holidays and generous paid time off, including to vote and volunteer
  • Paid parental, military, bereavement, and applicable federal/state sick leave

Our Hiring Process

If selected to move forward, you will:

  • Participate in an initial behavioral phone screen with our recruiting team.
  • Meet with staff members for a technical and collaborative interview.
  • Complete a background check (if selected for further consideration).

Work Environment

Our office is in the heart of Washington, DC's Chinatown neighborhood, with convenient access to public transportation. We operate in a hybrid model and provide an integration partner to support your onboarding and professional development.

This position may require 2-3 days per week on site with our client in Washington, DC.

How to Apply

To ensure your application is reviewed, submit your résumé directly through our website at: www.summitllc.us/careers

Please do not email résumés.

Accessibility and Equal Opportunity

Summit is committed to accessibility for all candidates. If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation or are unable to use or access our careers website, please contact us at peopleops@summitllc.us.

Summit is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other characteristic protected under federal, state, or local law, where applicable. Those with criminal histories will be considered in accordance with applicable state and local laws. Equal Employment Opportunity (EEO) is the law. Click here to view information on your protections under federal law from discrimination.

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