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Data Scientist Jobs in Reston, VA (NOW HIRING)

Data Scientist

Washington, DC · Hybrid

$116K - $174K/yr

The Data Scientist will help develop and deploy AI models from ideation to production. Required For This Opportunity * Bachelor's Degree in Computer Science * At least 5+ years of experience in Data ...

Data Scientist

Alexandria, VA · On-site

$94K - $141K/yr

Provide data science and advanced data analytics to support federal investigations. * Utilize data mining techniques to find patterns in large data sets * Develop prototype software to meet the needs ...

A Data Scientist represents an effective arbiter of strong technical knowledge and clear communication to inform decision makers and warfighters. Main responsibilities of data scientists include a ...

A Data Scientist represents an effective arbiter of strong technical knowledge and clear communication to inform decision makers and warfighters. Main responsibilities of data scientists include a ...

Data Scientist I supports government and program teams by assisting with data analysis, visualization, and reporting to inform mission, operational, and business decisions under senior supervision.

Brillient is seeking an experienced Data Scientist to join our team supporting a federal contract in Silver Spring, MD. This position requires U.S. Citizenship or a permanent resident and the ability ...

Data Scientist I supports government and program teams by assisting with data analysis, visualization, and reporting to inform mission, operational, and business decisions under senior supervision.

Data Scientist

Washington, DC · On-site

$94K - $141K/yr

Project Summary The Data Scientist will support data-driven decision-making by collecting, integrating, analyzing, and visualizing complex datasets. This role focuses on developing analytical models ...

Overview The Senior Data Scientist leads the design, development, and implementation of data-driven solutions that support strategic decision-making and mission objectives. This role works closely ...

Overview We are 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

Washington, DC · On-site

$125K - $155K/yr

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 ...

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 ...

R0241243 Data Scientist The Opportunity: 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 ...

Share 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 ...

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Data Scientist information

See Reston, VA salary details

$39K

$127.7K

$204.4K

How much do data scientist jobs pay per year?

As of Jun 24, 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.

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 communicate findings to stakeholders.

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 generally 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 jobs does data science do?

Data science involves analyzing large datasets to extract insights, build predictive models, and support decision-making across various industries. Data scientists often work with programming languages like Python or R, utilize machine learning techniques, and communicate findings to stakeholders. They can be employed in fields such as finance, healthcare, marketing, and technology, often requiring strong analytical skills and knowledge of statistical methods.

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:

$116K - $174K/yr

Full-time

Posted 13 days ago


Job description

Why AIS?

When you join AIS, you're joining a mission-driven team that's passionate about making a difference. You'll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.

  • Employee Ownership: Your contributions directly impact the company's success, and you share in its achievements.

  • Continuous Learning: Access to resources, training, and mentorship to support your professional growth.

  • Inclusive Culture: A workplace where diversity is celebrated, and everyone's voice is valued.

  • Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.

What are we looking for?

At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.

Working@AIS
At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Senior Data Scientist. As your initial project assignment, you will support the unique needs of our client as a Data Scientist. Project Summary

AIS is seeking a Data Scientist for an AI Engineering contract supporting a federal customer in a hybrid role in the DC/Maryland/Virginia (DMV) area.

Key Responsibilities
  • The Data Scientist will help develop and deploy AI models from ideation to production.

Required For This Opportunity
  • Bachelor's Degree in Computer Science

  • At least 5+ years of experience in Data Science.

  • Must have hands-on experience with Python, Python DS Tech Stack (tensorflow, scikit-learn, pandas, etc.)

  • Must have experience with database systems.

  • Must have a Secret clearance

  • Must have experience deploying Machine Learning (ML) models.

Nice to Have Skills
  • A certification in Data Science, AI, or another related certification is preferred, but not required.

At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member. The targeted base salary range for this role is $116,000-$174,000 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location. We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.

Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.