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Weekend Data Science Jobs in Virginia (NOW HIRING)

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 ...

VTG

Data Scientist

Chantilly, VA

$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 ...

Socket.dev

Data Scientist

Chantilly, VA · On-site

$100 - $140/hr

Responsible for applying data science techniques for cybersecurity solutions. * May extract, transform, load, analyze, and interpret relevant IA data for timely analytic use, provide reports on ...

VT Group (VTG)

Data Scientist

Chantilly, VA · On-site

The role involves applying data science techniques, particularly in cybersecurity solutions, to analyze data, create visualizations, and support data management efforts. Responsibilities : • A Data ...

Booz Allen Hamilton

Data Science Engineer, Lead

Mclean, VA

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Data Science Engineer, Lead The Opportunity: As a Data Science Engineer, you'll help build advanced technology solutions and implement data science and engineering activities on some of the most ...

Booz Allen Hamilton, Inc.

Data Science Engineer, Lead

Mclean, VA · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Share Data Science Engineer, Lead The Opportunity: As a Data Science Engineer, you'll help build advanced technology solutions and implement data science and engineering activities on some of the ...

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 ...

Booz Allen Hamilton

Lead Data Science Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As a Data Science Engineer, you'll help build advanced technology solutions and implement data science and engineering activities on some of the most mission-driven projects in the industry. You'll ...

Booz Allen Hamilton, Inc.

Data Science Engineer, Lead

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Data Science Engineer, Lead The Opportunity: As a Data Science Engineer, you'll help build advanced technology solutions and implement data science and engineering activities on some of the most ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a part of the Data Science team you'll have opportunities to work on projects that expand your skills, learn from peer mentors, and iterate internal research and development. We regularly ...

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All JobsData Science JobsWeekend Data Science JobsWeekend Data Science Jobs in Virginia

Weekend Data Science information

What is a weekend data science?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What skills and qualifications are needed to thrive as a weekend data scientist?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What challenges do data scientists working on weekends face, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.

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 Weekend Data Science jobs in Virginia?

For Weekend Data Science jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in Virginia look for?

The top searched job categories for Weekend Data Science jobs in Virginia are:

What cities in Virginia are hiring for Weekend Data Science jobs?

Cities in Virginia with the most Weekend Data Science job openings:

Weekend Data Science jobs near you
Infographic showing various Weekend Data Science job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Science SME Senior

Tulk LLC

Fort Belvoir, VA • On-site

$120K - $171K/yr

Full-time

Re-posted 26 days ago

Job description

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 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 mission-facing role for a senior Data Science professional who wants to turn deep tradecraft experience into practical learning for analysts, operators, and mission partners. You will help deliver, maintain, and improve training that supports how GEOINT professionals solve real national security problems.

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: Minimum 10 years of experience focusing on the concepts and applications of data analytics, computer science and programming, data modeling, Artificial intelligence and machine learning.
  • Experience: Minimum 2 years delivering learning content to adult learners in a classroom setting.

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.