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

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 ...

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 ...

Core Interface

Data Scientist

Chantilly, VA · On-site

Lead the end-to-end lifecycle of data science projects - from data collection and exploration to model development, evaluation, and deployment. * Design and implement predictive models, NLP solutions ...

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 ...

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 ...

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 ...

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

$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 ...

SOSi

Data Scientist III

Washington, DC

This role is responsible for applying data science, machine learning, and data engineering ... May be requested to work evenings and weekends to meet program and contract needs. Working at SOSi ...

SOSi

Data Scientist III

Washington, DC · On-site

This role is responsible for applying data science, machine learning, and data engineering ... May be requested to work evenings and weekends to meet program and contract needs. Working at SOSi ...

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 ...

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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 Jul 9, 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 are the key skills and qualifications needed to thrive as a Weekend Data Scientist, and why are they important?

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 is a Weekend Data Science job?

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 are some typical challenges faced by data scientists working specifically on weekends, 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.

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

Data Scientist

VTG

Chantilly, VA • On-site

$165K - $210K/yr

Full-time

Re-posted yesterday

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 of data scientists include a strong understanding in statical methods, predictive modeling, machine learning, deep learning, data visualizations, and data management. Depending on the specific position, data scientists may also need knowledge on other fields such as cybersecurity or business analytics due to the widespread use of data science concepts. Data scientists must be comfortable with regularly interacting with the customer/warfighter to receive feedback and guide future work and be confident to 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 experience level descriptions and qualifications are listed below.
 
Data Scientist, Level 2 (Intermediate) Functional Description: 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 timely analytic use, provide reports on any associated patterns, anomalies, and potential security concerns, and support relevant data management. May use machine learning and statistical approaches based on the analysis of the dataset. May prepare visualizations including dashboards, graphs, and presentations to communicate cybersecurity recommendations. May conduct and/or support data engineering and data management. May assist with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity approaches. Tools used to include the following or equivalent: AWS, Spark, Kafka, Tableau, Python (e.g., TensorFlow and PyTorch), R (e.g., tidyverse, RShiny), Splunk. Familiarity with the Agile (i.e., Scrum, Jira, Confluence) or equivalent project management process preferred, the Level 2 Data Scientist (Intermediate) is responsible for designing data science techniques for cybersecurity solutions. May adjust and create machine learning and statistical approaches based on the analysis of the dataset. May analyze visualizations including dashboards, graphs, and presentations to communicate cybersecurity recommendations. May conduct data engineering and data management. May lead with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity approaches. 
 
Data Scientist Level 3 (Senior) Functional Description: In addition to achieved duties described in Level 2, the Data Scientist Level 3 is responsible for overseeing data science techniques for cybersecurity solutions. May lead teams to extract, transform, load, analyze and interpret relevant IA (information assurance) data for timely analytic use, provide reports on any associated patterns, anomalies, and potential security concerns, and support relevant data management. May advise machine learning and statistical approaches based on the analysis of the dataset. May present visualizations including dashboards, graphs, and presentations to communicate cybersecurity recommendations. May spearhead data engineering and data management. May advise appropriate analytical approaches towards 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:
  • Data Scientist Level 2 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.
  • Includes strong knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies.

Level 3 Data Scientist:

  • Data Scientist Level 3 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.
  • Includes expert knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies

Pay Range: VTG’s estimated starting pay range is $165,000 - $210,000 annually, which is a general guideline for the geographic location. When extending an offer, VTG also considers work experience, education, skill level, market considerations and may possibly include contractual requirements which may cause an offer to fall outside of this range.

Qualifications:
Requirements:
All positions require: TS/SCI with Poly
 
Level 2 Data Scientist:
  • Data Scientist Level 2 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.
  • Includes strong knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies.

Level 3 Data Scientist:

  • Data Scientist Level 3 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.
  • Includes expert knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies
Education:UNAVAILABLEEmployment Type: FULL_TIME

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