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

... 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 ...

... 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 ...

... 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 ...

... Data Science, Statistics, Mathematics, Computer Science, or related field • 5-9 years of ... Agile delivery environments • Experience supporting IC, DoD, or DOJ mission programs • ...

Key Responsibilities * Lead development and application of advanced data science, AI/ML ... Defense environment. * Experience developing ROI-based analytical models, COA comparison frameworks ...

... 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 ...

Data Scientist

Washington, DC · Hybrid

$116K - $174K/yr

You'll work on projects that matter, alongside industry-leading experts, in an environment that ... Bachelor's Degree in Computer Science * At least 5+ years of experience in Data Science. * Must ...

... science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs in order to then dig into their data-rich environments to find the pieces of ...

... science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs in order to then dig into their data-rich environments to find the pieces of ...

Data Scientist

Alexandria, VA · On-site

$99K - $225K/yr

... science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs in order to then dig into their data-rich environments to find the pieces of ...

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

Responsibilities : • Experience with data science toolkits, data analytics and statistical analysis as well as data discovery, use and exploitation within multi-cloud environments. • Experience ...

... science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs in order to then dig into their data-rich environments to find the pieces of ...

... science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs in order to then dig into their data-rich environments to find the pieces of ...

The work is performed in a multidisciplinary team environment in an agile project framework. The ... A Bachelor's Degree in Data Science, Math, Finance, Statistics, Information Management, Computer ...

Data Science SME Lead

Fort Belvoir, VA · On-site

$120K - $189K/yr

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

Showing results 41-60

Environmental Data Science information

See Reston, VA salary details

$39K

$127.7K

$204.4K

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 $127,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $141,500.00 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 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:
Infographic showing various Environmental Data Science job openings in Reston, VA as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $127,692 per year, or $61.4 per hour.

Data Scientist

Two Six Technologies

Arlington, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

At Two Six Technologies, we build, deploy, and implement innovative products that solve the world’s most complex challenges today. Through unrivaled collaboration and unwavering trust, we push the boundaries of what’s possible to empower our team and support our customers in building a safer global future.

We’re looking for an experienced Data Scientist or Senior Data Scientist to join one of our cross-functional product development teams here at Two Six Technologies. Our teams are building capabilities to identify, plan, and deliver effects in the information operations space, and aim to provide a complete end-to-end solution to customers wishing to detect, analyze, and respond to events in real time. We combine signal-rich proprietary data, novel AI-powered technology, and world-class expertise to deliver valuable insights to our US government and Fortune 50 clients. 

We’re seeking a curious and passionate Data Scientist who will help our customers discover the information hidden in vast amounts of data to sense, make sense, and act in the Information Environment. In this role, you will work autonomously to find creative solutions and tackle challenging problems with cutting-edge technology, with a current focus on Agentic AI. The role is a great fit if you’re motivated by autonomy, innovation, and mission-focused data problems in uncharted territory to advance missions of national security.

As a part of the Data Science team you’ll have opportunities to work on projects that expand your skills, learn from peer mentors, and iterate internal research and development. We regularly experiment with a range of data science techniques to build tools and produce insights. Our team works with agentic and generative AI, machine learning, network analysis, sampling methodologies, multi-language NLP, data visualization, and more.

Responsibilities

  • Work with our product and customer support teams to turn abstract customer needs into concrete data science and/or engineering problems
  • Experiment with and evaluate potential solutions to develop high quality prototypes
  • Work with our engineering team to turn prototypes into scalable production-level software
  • Work on agentic systems – designing prototypes, adding tools, evaluating effectiveness
  • Be responsible for projects that span statistical and mathematical reasoning, business communications and leadership, and software development
  • Contribute to the product roadmap both near-term tactical and  longer-term strategic levels
  • Experiment with a range of data science techniques to produce insight, including machine learning, deep learning, network analysis, sampling methodologies, text analytics in multiple languages and data visualization
  • Design and execute experiments to evaluate the integrity of our data sampling and data collection strategies
  • Work on ad-hoc analyses or build prototype tools to support our subject matter expert and customer support teams
  • Participate in strategic discussions about the direction data science should be taking the company

Here are some of the skills and experience that will help you thrive in this role:

  • Background
    • Strong quantitative background with Bachelor’s degree in Physics, Computer Science, Math, Statistics, Economics, Engineering, or similar field. Higher degrees preferred
    • You have 3+ years experience in a Data Science role (or 1+ with a PhD), including 2+ years experience with Python programming language (Intermediate-level or higher)
  • Technical
    • Experience with agentic and generative AI. Examples include
      • Building agentic systems
      • Building tools for agentic systems
      • Evaluating agentic systems and/or generative AI solutions
      • LangChain and/or LangGraph frameworks
      • Model Context Protocol and Agent2Agent Protocol
      • Prompt engineering
      • Leveraging LLMs within analytical pipelines
      • Training or fine-tuning LLMs
    • Experience with Machine Learning, including
        • Feature selection/engineering
        • Model training
        • Model evaluation
        • Supervised and Unsupervised ML
        • Simulation
        • Anomaly detection
    • A good understanding of statistics, including familiarity with statistical tests, distributions, and maximum likelihood estimators
    • Previous experience with code version control
    • Familiarity with software development processes and tools like the Agile methodology and Jira
  • Project Ownership
    • You’ve scoped and planned data science projects and have the ability to creatively navigate technical limitations, iterate to solve hard questions, and learn quickly and independently.
    • You are comfortable leading solutions for ambiguous tasks and complex problems, and are capable of independently providing solutions that fit within the business strategy.
    • You propose pragmatic solutions that are as simple as possible and can be iterated upon
    • You\'re comfortable working remotely on a distributed data science team with a diverse set of skills and life experiences, while embedded in a product team as owner of data science innovations to the product.
  • Communication
    • You have strong written and verbal communication skills to both technical and non-technical customers. You have experience participating in meetings with a multitude of stakeholders (e.g., Product, Engineering, Operations, Management) and can communicate in a crisp manner. Mastery of English is required for this role, including communication at all levels of technical expertise.

Clearance: Must be eligible and willing to obtain a clearance.

Travel: Up to 10% Travel
#LI-MS1

Two Six Technologies is committed to providing competitive and comprehensive compensation packages that reflect the value we place on our employees and their contributions. We believe in rewarding skills, experience, and performance. Our offerings include but are not limited to, medical, dental, and vision insurance, life and disability insurance, retirement benefits, paid leave, tuition assistance and professional development.

The projected salary range listed for this position is annualized. This is a general guideline and not a guarantee of salary. Salary is one component of our total compensation package and the specific salary offered is determined by various factors, including, but not limited to education, experience, knowledge, skills, geographic location, as well as contract specific affordability and organizational requirements.

Salary Range$100,000—$150,000 USD

Looking for other great opportunities? Check out Two Six Technologies Opportunities for all our Company’s current openings! 

Ready to make the first move towards growing your career? If so, check out the Two Six Technologies Candidate Journey!  This will give you step-by-step directions on applying, what to expect during the application process, information about our rich benefits and perks along with our most frequently asked questions.  If you are undecided and would like to learn more about us and how we are contributing to essential missions, check out our  Two Six Technologies News  page!  We share information about the tech world around us and how we are making an impact!  Still have questions, no worries!  You can reach us at Contact Two Six Technologies. We are happy to connect and cover the information needed to assist you in reaching your next career milestone.

Two Six Technologies is an Equal Opportunity Employer and does not discriminate in employment opportunities or practices based on race (including traits historically associated with race, such as hair texture, hair type and protective hair styles (e.g., braids, twists, locs and twists)), color, religion, national origin, sex (including pregnancy, childbirth or related medical conditions and lactation), sexual orientation, gender identity or expression, age (40 and over), marital status, disability, genetic information, and protected veteran status or any other characteristic protected by applicable federal, state, or local law. For more information review the Two Six Technologies Equal Employment Opportunity and Affirmative Action Policy and the EEO Poster. 

If you are an individual with a disability and would like to request reasonable workplace accommodation for any part of our employment process, please send an email to accommodations@twosixtech.com. Information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.

Additionally, please be advised that this business uses E-Verify in its hiring practices.

By submitting the following application, I hereby certify that to the best of my knowledge, the information provided is true and accurate.