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Data Science Assistant Jobs in Virginia (NOW HIRING)

SAIC

Data Scientist

Springfield, VA · Remote

Develop data analytics and visualizations by applying proven, industry-standard data science ... Policy and Communications Support: Assist in supporting Policy Business Operations, including ...

Maxar

Data Scientist

Reston, VA · On-site

Contribute to end-to-end data science and data engineering workflows, from data preparation and ... Assistingwith deployment and evaluation of internal LLM-enabled tools or assistants. * Collaborate ...

Deloitte

AI and Data Science Engineer III

Richmond, VA · On-site +1

$113K - $136K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... knowledge assistants, summarization, and policy question-and-answer solutions using secure ...

ARA

Junior Data Scientist

Fort Belvoir, VA · On-site

... Essential Functions: * Assist with processing, cleaning, and transforming structured and ... Bachelor's degree in data science, statistics, computer science, mathematics, or a related field ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Booz Allen Hamilton

Data Scientist

Mclean, VA

$99K - $225K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a Data Science Assistant, and why are they important?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data science assistants can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is not a barrier if you develop the necessary competencies and stay current with industry trends.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What is a data scientist assistant?

A data scientist assistant supports data scientists by collecting, cleaning, and analyzing data, often using tools like Python or R. They help prepare reports, build models, and may need knowledge of statistics and data visualization to contribute effectively to data projects.

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 results, develop models, and make strategic decisions. Data scientists are increasingly required to work alongside AI tools, focusing on complex problem-solving, model development, and domain expertise. Continuous learning and proficiency in programming languages like Python and tools such as machine learning frameworks remain essential for the role.

Which is better, DS or CS?

For a Data Science Assistant role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes algorithms, programming, and software development. The choice depends on the specific job requirements and your career goals, but familiarity with programming languages like Python or R and understanding of data tools are essential in both fields.
What are the most commonly searched types of Data Science jobs in Virginia? The most popular types of Data Science jobs in Virginia are:
What are popular job titles related to Data Science Assistant jobs in Virginia? For Data Science Assistant jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science Assistant jobs in Virginia look for? The top searched job categories for Data Science Assistant jobs in Virginia are:
Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in Virginia as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Junior Data Scientist

Berriehill Research

Fort Belvoir, VA • On-site

Full-time

Posted 21 days ago

Job description

The Capabilities, Analysis and Development (CAD) division of Applied Research Associates, Inc. (ARA) has an outstanding opportunity for a Junior Data Scientist to support a multidisciplinary team providing data analysis and visualization support across the Department of War (DoW) mission space. You will support data-driven decision making by analyzing data, developing basic models, creating visualizations, and generating actionable insights as part of a multi-disciplinary team delivering analytical and software solutions for national security missions. This role is ideal for early-career data scientists passionate about solving real operational problems and building prototypes in an agile environment.

This position is contingent upon award of a contract expected in January 2027

Essential Functions:

  • Assist with processing, cleaning, and transforming structured and unstructured data.
  • Support development of analytics, machine learning and statistical models, and exploratory data analysis.
  • Create basic visualizations to identify patterns, trends, and performance indicators.
  • Work with senior data scientists and developers to translate user needs into analytic tasks.
  • Contribute to the design, testing, and deployment of data and analytic workflows.
  • Build and deploy scripts and tools to automate routine data tasks.
  • Help prepare documentation, user guides, and training materials.
  • Stay current on emerging technologies, analytic methods, and industry best practices.
  • Collaborate as part of an agile team and contribute to sprint activities.

Required Qualifications:

  • Must be a US citizen.
  • Active and current SECRET clearance or higher with ability to upgrade to a TS/SCI clearance.
  • Bachelor’s degree in data science, statistics, computer science, mathematics, or a related field with 2+ years’ experience, or a Master’s degree in data science, statistics, computer science, mathematics, or a related field.
  • Experience performing analysis on large datasets and knowledge of machine learning tools and statistical techniques to produce solutions
  • Proficiency with common data science (Python, R, SQL, SAS) and data visualization (Tableau, Power BI) tools
  • Ability to write clearly and produce documentation, user guides, and training materials.

Desired Qualifications:

  • Experience with common data packages such as pandas, NumPy, scikit-learn, matplotlib, and data visualization frameworks such as Plotly or D3
  • Experience with APIs, CSV/JSON datasets, relational databases
  • Experience conducting data analyses in cloud environments such as AWS, Azure, Google Cloud
  • Familiarity with Agile development practices and collaborative tools such as Jira and Gitlab

 

COMPANY INFORMATION:

Applied Research Associates, Inc. is an employee-owned international research and engineering company recognized for providing technically superior solutions to complex and challenging problems in the physical sciences. The company, founded in Albuquerque, NM, in 1979, currently employs over 1200 professionals. ARA offices throughout the United States and Canada provide a broad range of technical expertise in defense technologies, civil technologies, computer software and simulation, systems analysis, environmental technologies, and testing and measurement. The corporation also provides sophisticated technical products for environmental site characterization, pavement analysis, and robotics.

At ARA, employees are our greatest assets. The corporation realizes that employee ownership fosters greater creativity and initiative along with higher performance and customer satisfaction levels. ARA gives its employees the tools, training, and opportunities to take more active roles as owners. The culture is challenging; innovation and experimentation are the norm. Employees are eligible for contributions which not only add to the company’s success, but also their own through the Employee Stock Ownership Plan (ESOP). The motto, “Engineering and Science for Fun and Profit” sums up the ARA experience. For additional information and an opportunity to join this unique workplace, please visit our website at www.ara.com.

Please apply at www.careers.ara.com for the Junior Data Scientist position.

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