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Data Science Jobs in Reston, VA (NOW HIRING)

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 understand the mission, the tradecraft, and the people who have to make decisions with imperfect ...

VTG

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

In addition to being responsible for applying data science techniques for cybersecurity solutions. May extract, transform, load, analyze and interpret relevant IA (information assurance) data for ...

VTG

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

In addition to being responsible for applying data science techniques for cybersecurity solutions. May extract, transform, load, analyze and interpret relevant IA (information assurance) data for ...

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 understand the mission, the tradecraft, and the people who have to make decisions with imperfect ...

Core Interface

Data Scientist

Chantilly, VA · On-site

Lead the end-to-end lifecycle of data science projects - from data collection and exploration to model development, evaluation, and deployment. * Design and implement predictive models, NLP solutions ...

VTG

Data Scientist

Chantilly, VA

$105K - $215K/yr

Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field * Preferred Qualifications: Experience supporting federal, DoD, or IC programs, Exposure to mission ...

PotomacWave Consulting

Data Scientist

Washington, DC · On-site

$125K - $155K/yr

This role will lead the development and implementation of advanced data science algorithms, machine learning models, and sophisticated data visualizations to solve complex analytic challenges for the ...

VTG

Data Scientist

Mclean, VA · On-site

Bachelor's degree in computer science, Software Engineering, or related field. Required: * TS/SCI with Full Scope Polygraph * BS in a quantitative field (mathematics, data science, statistics) * At ...

PotomacWave

Data Scientist

Washington, DC · On-site

This role will lead the development and implementation of advanced data science algorithms, machine learning models, and sophisticated data visualizations to solve complex analytic challenges for the ...

VTG

Data Scientist

Chantilly, VA

Stay current with emerging data science techniques, tools, and technologies Do you have what it takes? * Active TS/SCI with Polygraph required. * Bachelor's or Master's degree in Data Science ...

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All JobsData Science JobsData Science Jobs in Reston, VA

Data Science information

See Reston, VA salary details

$39K

$127.7K

$204.4K

How much do data science jobs pay per year?

As of Jul 9, 2026, the average yearly pay for 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 data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Reston, VA? The most popular types of Data Science jobs in Reston, VA are:
What are popular job titles related to Data Science jobs in Reston, VA? For Data Science jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Reston, VA look for? The top searched job categories for Data Science jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Science jobs? Cities near Reston, VA with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Reston, VA as of July 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution, with an average salary of $127,692 per year, or $61.4 per hour.

Data Science SME Mid

Tulk LLC

Fort Belvoir, VA • On-site

$115K - $157K/yr

Full-time

Posted 15 days ago

Job description

Data Science SME Mid

TULK supports U.S. national security customers with cleared experts who understand the mission, the tradecraft, and the people who have to make decisions with imperfect information.

On GTLSS, TULK supports the National Geospatial-Intelligence College and related NGA mission partners by helping develop, deliver, and maintain GEOINT learning that is current, practical, and mission-relevant.

Why This Role Matters

This is a strong fit for a cleared Data Science professional who enjoys teaching, mentoring, and helping analysts build practical tradecraft skills. You will support course delivery and curriculum maintenance while working with experienced instructors, course managers, and mission partners.

What You Will Do

  • Deliver GEOINT tradecraft learning in classroom, virtual, and mobile training environments.
  • Help learners connect tradecraft concepts to realistic mission scenarios, analytic problems, and operational decision-making.
  • Support curriculum management, course maintenance, and course development activities in accordance with NGC guidance.
  • Review courseware for technical accuracy, currency, instructional effectiveness, and alignment to the assigned tradecraft area.
  • Participate in Integrated Development Team meetings with course managers, learning development representatives, and mission stakeholders.
  • Maintain required instructor certification and course qualification status.

Required Skills and Experience

  • U.S. citizenship is required.
  • An active TS/SCI security clearance is required. Some positions may require additional accesses, SCI eligibility, or successful completion of a Counterintelligence-scope polygraph process as directed by the customer.
  • Education: A bachelor's degree from an accredited (i.e., regional, national, or institutional) academic institution, related to their assigned area of expertise (i.e., Computational Thinking, Programming, Statistics, or Data Visualization).
  • Education: Department of Defense (DoD) Basic Instructor Certification
  • Experience: Required Experience: Minimum 5 years of experience focusing on the concepts and applications of data analytics, computer science and programming, data modeling, Artificial intelligence and machine learning.

What We Value

  • Mission focus, sound judgment, and professionalism in support of national security customers.
  • The ability to make complex GEOINT concepts clear, useful, and relevant to adult learners.
  • Strong communication, preparation, and follow-through.
  • A collaborative approach with government, contractor, and mission partners.
  • A bias for practical improvements that make training better and more useful for the mission.