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Data Science Jobs in Reston, VA (NOW HIRING)

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 ...

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 ...

VTG

Data Scientist

Mclean, VA · On-site

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 ...

VTG

Data Scientist

Chantilly, VA · On-site

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 ...

VTG

Data Scientist

Herndon, VA · On-site

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 ...

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 ...

Elder Research

Data Scientist

Arlington, VA · On-site

You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication. Responsibilities include ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site

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 experts to increase decision space ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site

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 experts to increase decision space ...

Elder Research

Data Scientist

Arlington, VA

You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication. Responsibilities include ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA

In this role, you will apply data science techniques and met hods and leverage a suite of data-driven tools to aid the client's service leadership and subject matter experts to increase decision ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site

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 experts to increase decision space ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

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 experts to increase decision space ...

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Showing results 1-20

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 Jun 17, 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.

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.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

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 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 jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

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.

What jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
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 June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $127,692 per year, or $61.4 per hour.
Data Scientist

Data Scientist

PotomacWave Consulting

Washington, DC • On-site

$125K - $155K/yr

Full-time

Posted 6 days ago

Job description

PotomacWave is looking for a Data Scientist to join our team supporting a Federal client in Washington, DC. This position will support the Office of Intelligence and Counterintelligence. 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 mission, with a particular focus on improving data comprehension and driving data-driven decision-making processes.
Responsibilities:
  • Lead efforts to process large structured and unstructured datasets, developing and operationalizing data models, advanced analytic tools, and applications that optimize decision-making and enhance analytic throughput.
  • Design and implement advanced data collection, mining, clustering analysis, pattern recognition, and trends analysis techniques to develop actionable intelligence and inform strategic decisions.
  • Collaborate closely with analysts to build robust prototypes, prove complex concepts, and facilitate the widespread adoption of cutting-edge data science technologies and methodologies within the office.
  • Champion enterprise innovation, significantly increasing data awareness, and demonstrate the transformative value of advanced analytics and data visualization.
  • Stay abreast of bleeding-edge technology standards, industry trends, emerging technologies, and software development best practices, incorporating them into actionable strategies.
  • Architect and leverage advanced technologies including Python, R, AWS, Java, SQL, Tableau, D3JS, and Spark to analyze high volumes of data, reveal hidden patterns, and create compelling data narratives.
  • Lead the design and build of complex algorithms and machine learning models throughout the entire development lifecycle, ensuring scalability and operational effectiveness.
  • Evaluate and recommend advanced training opportunities, fostering a culture of continuous learning and skill development within the team.
  • Develop and codify structured processes for data-driven decision-making, leading initiatives to improve readership, feedback mechanisms, and overall analytic throughput.
  • Significantly contributes to the data science community by advocating for strategic data-driven quality projects and advanced process improvements.
  • Partner with cross-functional teams to meticulously document complex requirements, strategically leverage existing capabilities, and deliver high-impact products to customers.
  • Combine rigorous scientific method, advanced mathematics, statistics, specialized programming, and compelling storytelling to uncover deeply actionable insights and communicate them effectively.
  • Review mission needs, leading the evaluation of policy and program effectiveness through a data-centric lens.
  • Lead participation in enterprise-wide data science projects involving highly innovative approaches where precedents may not exist, setting new standards for the organization.
Qualifications:
  • A bachelor's degree in the following is required: data science, computer science, information science, mathematics, or statistics. A master's degree is preferred.
  • A professional certification in data science is required.
  • A minimum of four (4) years of experience in a data science related field.
  • The selection of an individual for this position may be conditioned upon their successful completion of a counterintelligence-scope polygraph examination.
  • Must be a U.S. Citizen and have an active DOE Q or Top-Secret clearance.

Salary range $125,000 - $155,000
Equal Opportunity Employer/Race/Sex/Religion/Disability/Veteran Status/Sexual Orientation/Gender Identity/National Origin/Age.

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