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Data Scientist Jobs in Virginia (NOW HIRING)

Data Scientist

Arlington, VA ยท On-site +1

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 ...

Data Scientist The Opportunity: In this role, you will apply data science techniques and methods and leverage a suite of data-driven tools to aid the client's service leadership and subject matter ...

Data Scientists supporting these efforts work at the intersection of data science, applied research, and software engineering to develop advanced capabilities, prototype new applications, and help ...

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 ...

Data Scientist Job Category: Intelligence Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 50% Type of Travel: Continental ...

The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine learning, artificial intelligence, data exploitation, and analytic tradecraft. This role requires on ...

Data Scientist

Mclean, VA

$125K - $160K/yr

The Data Scientist will contribute to the full lifecycle of model development, from data exploration and feature engineering to model training, evaluation, and deployment, while supporting the ...

VTG is looking for a Data Scientist in Chantilly, VA, to support government and program teams with data analysis, visualization, and reporting. The role involves performing data analysis and modeling ...

Data Scientist

Mclean, VA ยท On-site

$117.70 - $218.60/hr

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating, resolving, analyzing, modeling, and explaining large data in support of complex investigations. Success ...

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating, resolving, analyzing, modeling, and explaining large data in support of complex investigations. Success ...

Overview VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of experience leveraging data to drive business insights and decision-making. The ideal candidate will have ...

Data Scientist

Chantilly, VA ยท On-site

$135K - $180K/yr

We are currently seeking a Data Scientist. This position is a full-time opportunity located in Chantilly, VA. Battelle's Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Business ...

Data Scientist

Chantilly, VA ยท On-site

$135K - $180K/yr

We are currently seeking a Data Scientist. This position is a full-time opportunity located in Chantilly, VA. Battelle's Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Business ...

Data Scientists supporting these efforts work at the intersection of data science, applied research, and software engineering to develop advanced capabilities, prototype new applications, and help ...

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating, resolving, analyzing, modeling, and explaining large data in support of complex investigations. Success ...

Data Scientist (Active TS/SCI Clearance) Top Mandatory Skills * 8+ years of experience in Data Science, Machine Learning, or Analytics * Strong foundation in Statistics, Probability, Graph Theory, or ...

The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine learning, artificial intelligence, data exploitation, and analytic tradecraft. This role requires on ...

ECS is seeking a Data Scientist to work onsite at our Springfield, VA customer's office. ECS seeks a Data Scientist to support the development and integration of Big Data/Cloud Solutions. The ...

Showing results 21-40

Data Scientist information

See Virginia salary details

$37.2K

$121.7K

$194.8K

How much do data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data scientist in Virginia is $121,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $134,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
What are the most commonly searched types of Data Scientist jobs in Virginia? The most popular types of Data Scientist jobs in Virginia are:
What cities in Virginia are hiring for Data Scientist jobs? Cities in Virginia with the most Data Scientist job openings:
What are popular job titles related to Data Scientist jobs in VA? For Data Scientist jobs in VA, the most frequently searched job titles are:
Infographic showing various Data Scientist job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,686 per year, or $58.5 per hour.

Data Scientist

Two Six Technologies

Arlington, VA โ€ข On-site, Remote

Full-time

Re-posted 23 hours ago


Job description

We're looking for an experiencedย 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.ย 

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 andย  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
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