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Weekend Data Science Jobs in Reston, VA (NOW HIRING)

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 ...

Booz Allen Hamilton

Data Science Engineer, Lead

Mclean, VA · On-site

$99K - $225K/yr

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

Lead Data Science Engineer

Mclean, VA · On-site

$99K - $225K/yr

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 ...

VTG

Data Scientist

Chantilly, VA · On-site

$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 ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site +1

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 ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site

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 ...

VTG

Data Scientist

Chantilly, VA · On-site

$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 ...

VTG

Data Scientist

Mclean, VA

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 ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site

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 ...

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

Herndon, 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

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 JobsWeekend Data Science JobsWeekend Data Science Jobs in Reston, VA

Weekend Data Science information

See Reston, VA salary details

$39K

$127.7K

$204.4K

How much do weekend data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for weekend 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 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 Reston, VA?

The most popular types of Data Science jobs in Reston, VA are:

What are popular job titles related to Weekend Data Science jobs in Reston, VA?

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

What job categories do people searching Weekend Data Science jobs in Reston, VA look for?

The top searched job categories for Weekend Data Science jobs in Reston, VA are:

What cities near Reston, VA are hiring for Weekend Data Science jobs?

Cities near Reston, VA with the most Weekend Data Science job openings:

Weekend Data Science jobs near you

Data Scientist

Socket.dev

Chantilly, VA • On-site

$100 - $140/hr

Other

Posted 12 days ago

Job description

Overview

VTG is looking for a Level 2 and Level 3 Data Scientist in Chantilly VA. (Note: position is contingent upon program award)

What will you do?

A Data Scientist represents an effective arbiter of strong technical knowledge and clear communication to inform decision makers and warfighters. Main responsibilities include a strong understanding of statistical methods, predictive modeling, machine learning, deep learning, data visualizations, and data management. Depending on the specific position, data scientists may also need knowledge of other fields such as cybersecurity or business analytics. They must be comfortable with regularly interacting with the customer/warfighter to receive feedback, guide future work, and present information to decision makers. The impact an experienced data scientist can have on an organization is immense, including automating manual processes, predicting future trends, and detecting anomalies.

Data Scientist, Level 2 (Intermediate)

  • 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 patterns, anomalies, and potential security concerns, and support data management.
  • May use machine learning and statistical approaches, prepare visualizations (dashboards, graphs, presentations) to communicate recommendations.
  • May conduct/support data engineering and data management, assist with selecting appropriate analytical approaches towards automation.
  • Reviews and defines requirements for data science cybersecurity approaches.
  • Tools: AWS, Spark, Kafka, Tableau, Python (TensorFlow, PyTorch), R (tidyverse, RShiny), Splunk, Agile/Scrum/Jira/Confluence preferred.

Data Scientist, Level 3 (Senior)

  • Oversees data science techniques for cybersecurity solutions, building on Level 2 responsibilities.
  • Leads teams to extract, transform, load, analyze, and interpret IA data, provide reports on patterns, anomalies, and security concerns, and support data management.
  • Advises on machine learning and statistical approaches, presents visualizations, dashboards, graphs, and presentations to communicate recommendations.
  • Spearheads data engineering and data management, advises on appropriate analytical approaches toward automation.
  • Establishes requirements for data science cybersecurity approaches.
Do you have what it takes?

Requirements:

All positions require: TS/SCI with Poly

Level 2 Data Scientist Qualifications:

  • Bachelor’s degree or equivalent and five (5) years of relevant experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field, preferably with exposure to cybersecurity applications and/or operations.
  • Strong knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies.

Level 3 Data Scientist Qualifications:

  • Bachelor’s degree or equivalent and seven (7) years of relevant experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field, preferably with exposure to cybersecurity applications and/or operations.
  • Expert knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies.
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