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Data Scientist Jobs in Reston, VA (NOW HIRING)

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

Washington, DC · On-site

$52.88 - $57.69/hr

We have an outstanding Contract position for a Data Scientist to join a leading Company located in the Washington, DC surrounding area. Pay Rate: $52.88 - $57.69 **US Citizenship is required.

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

Herndon, VA · On-site

$51K - $82K/yr

Responsibilities Peraton is seeking a Data Scientist to join our team of qualified, diverse individuals. This position will be located in Herndon, VA. The qualified applicant will become part of ...

Are you a Data Scientist that likes to perform research-level data analytics and are willing to work at our customer site in Bethesda, MD? Want to support ongoing and future programs to advance the ...

KDA Consulting Inc. is seeking a highly skilled Data Scientist with AI/ML expertise to support mission-critical programs within the Intelligence Community (IC). This role will focus on leveraging ...

Data Scientist

Mclean, VA

$125K - $160K/yr

We are seeking a Data Scientist to design, build, and deliver predictive analytics, machine learning models, and data-driven insights that support mission and business outcomes. This role requires ...

KDA Consulting Inc. is seeking a highly skilled Data Scientist with AI/ML expertise to support mission-critical programs within the Intelligence Community (IC). This role will focus on leveraging ...

Data Scientist

Washington, DC · On-site

$52.88 - $57.69/hr

We have an outstanding Contract position for a Data Scientist to join a leading Company located in the Washington, DC surrounding area. Pay Rate: $52.88 - $57.69 **US Citizenship is required.

Altus Consulting is seeking a talented Data Scientist to join our team and drive data-driven decision making for our clients. You will leverage your expertise in statistics, machine learning, and ...

Data Scientist Washington, DC (Hybrid) About the Role: We are looking for a highly motivated Data Scientist with a strong background in applied machine learning and AI to join our growing team. In ...

The Data Scientist will work as part of a research-focused team to advance national security objectives, analyze results, disseminate findings, and contribute to publications and presentations with ...

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity ...

Data Scientist

Bethesda, MD · On-site

$120K - $265K/yr

Data Scientist Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: None Type of ...

Altus Consulting is seeking a talented Data Scientist to join our team and drive data-driven decision making for our clients. You will leverage your expertise in statistics, machine learning, and ...

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Showing results 1-20

Data Scientist information

See Reston, VA salary details

$39K

$127.7K

$204.4K

How much do data scientist jobs pay per year?

As of Jul 19, 2026, the average yearly pay for data scientist 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.

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.

What careers can I do with data science?

Data scientists can pursue careers in fields such as machine learning engineering, data analysis, business intelligence, data engineering, and research roles. These positions often require skills in programming, statistical analysis, and tools like Python, R, or SQL, and may involve working in industries like finance, healthcare, technology, or marketing.

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 the field continues to grow as organizations seek to leverage big data for competitive advantage.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

Is 30 too late for data science?

Data scientists can enter the field at any age, including 30 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science from different backgrounds by acquiring relevant skills such as programming, statistics, and machine learning through courses or certifications. Age is not a barrier if you develop a strong portfolio and stay current with industry tools and techniques.

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 Reston, VA? The most popular types of Data Scientist jobs in Reston, VA are:
What are popular job titles related to Data Scientist jobs in Reston, VA? For Data Scientist jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Data Scientist jobs? Cities near Reston, VA with the most Data Scientist job openings:
Data Scientist

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Thomson Reuters rating

8.9

Company rating: 8.9 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

25th of 451 rated business services


Job description

Summary and Description
Thomson Reuters Special Services (TRSS) is looking for a Data Scientist to support our Federal Law Enforcement customers. 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 in this role requires strong technical depth, the initiative to operate with minimal direction, creativity to develop novel solutions, and a mission-focused mindset.
TRSS Data Scientists support the full range of Federal Law Enforcement missions including, but not limited to: Emerging Threat Detection, Money Laundering, Fraud, Force Protection, Human Rights Crimes, Transnational Crime, and more. Outside of contract work, TRSS Data Scientists contribute to internal innovation by participating in research and development (R&D), developing and maintaining shared capabilities, strengthening technical skills, and supporting business development efforts such as proof-of-concept projects and capabilities briefings.
This opportunity is specifically for positions located on US Government customer sites in the Washington, DC area. This is not a telework position.
We recruit from a broad range of disciplines and experience. If you are passionate about the chance to put your Data Science skills to practice in support of Federal Law Enforcement, then we are looking for you!
About the Role
TRSS Data Scientist candidates must possess the following minimum qualifications. Please ensure your resume and application clearly demonstrate that you have:
  • United States Citizenship (essential to comply with government contract requirements).
  • Ability to obtain and maintain a U.S. security clearance or agency work suitability determination, as required by assignment.
  • Willingness to work full time, on-site, embedded at US Government offices in the Washington, DC area. (Specific office assignments are subject to change).
  • Bachelor's or Master's Degree in a technical field (e.g., data science, statistics, computer science, mathematics, physical/biological sciences, or geographic information systems (GIS), etc.).
  • At least 3 years of relevant experience. Relevant experience can include some combination of:
    • Large Data Management: querying, extracting, cleaning, verifying, resolving, and maintaining data.
    • Large Data Analysis: statistical methods, graph networks, anomaly detection, spatial analysis, pattern-of-life, sentiment analysis.
    • Large Data Modeling: risk modeling, community detection, classification, computer vision, and general application of machine learning (ML) and artificial intelligence (AI) models.
    • Large Data Storytelling: explaining insights and methodology to a non-technical audience, dashboards, plots & visualizations, direct experience with customers.
    • Programming: Candidates must have practical experience writing, editing, customizing, and executing code written in Python.
    • SQL proficiency: Candidates must have experience using SQL for data extraction, pipelining, or exploration.
  • Ability to handle sensitive, confidential, or regulated data in accordance with applicable policies and requirements. Ability to interface directly with customers at all levels and be a representative of TRSS.
  • Ability to work both independently and as a member of a team. Teams may include other Data Scientists or be cross-disciplinary and include Subject Matter Expert Analysts and/or Data Engineers.
  • Ability to interpret customer requests and/or problem statements into clear project plans, develop project goals and methods, and to deliver actionable results within required timeframes.

About you:
Preference will be given to candidates who possess the minimum qualifications and the following preferred qualifications. Please ensure your resume and application clearly demonstrate that you have:
  • Current/Active government work suitability or security clearance.
  • Experience working with law enforcement agencies.
  • Programming skills in multiple languages other than Python (Python is a minimum requirement) including R, Java, or SQL.
  • Experience with software development, including managing collaborative codebases, version control, linting/testing, containerization, and interacting with REST APIs.

#LI-SW1
What's in it For You?
  • Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
  • Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
  • Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
  • Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
  • Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
  • Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
  • Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.
Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $117,700 USD - $218,600 USD.Base pay is positioned within the range based on several factors including an individual's knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
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More information about Thomson Reuters can be found on thomsonreuters.com

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