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

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Responsibilities We're looking for a Data Science Specialist to support advanced analytics and data modeling across medium to large datasets. This role emphasizes data cleaning and visualization ...

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 ...

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 ...

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 ...

Data Science Specialist

Chantilly, VA · On-site

$135K - $216K/yr

Responsibilities We're looking for a Data Science Specialist to support advanced analytics and data modeling across medium to large datasets. This role emphasizes data cleaning and visualization ...

Contract Qualifications 3-7 years of experience (mid-level) in data science, statistics, and data analytics Ability to work with moderate to minimal supervision Strong programming abilities in SQL ...

Showing results 41-60

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 Sep 8, 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 cities near Reston, VA are hiring for Weekend Data Science jobs?

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

$105K - $215K/yr

Full-time

Re-posted 2 days ago


Job description

Overview

VTG is looking for a Data Scientist in Chantilly, VA.  (Note: Contingent upon program award).

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 II independently performs data analysis and modeling to support mission outcomes, providing actionable insights to government and program leadership.

Data Scientist III independently performs data analysis and modeling to support mission outcomes, providing actionable insights to government and program leadership.


What will you do?

Data Scientist I

  • Support collection, cleaning, and preparation of structured and semistructured data
  • Assist with exploratory data analysis and basic statistical assessments
  • Develop simple dashboards, visualizations, and analytical summaries
  • Support documentation of data sources, assumptions, and methodologies
  • Participate in analytic working groups and technical discussions
  • Assist with maintaining data pipelines, scripts, and analysis artifacts
  • Support coordination between data engineers, analysts, and mission stakeholders

Data Scientist II

  • Analyze large and complex datasets to identify trends, patterns, and insights

  • Develop and apply statistical models or machine learning techniques as appropriate

  • Design and maintain dashboards, visualizations, and analytic products

  • Translate mission or business questions into analytic approaches and outputs

  • Validate data quality, assumptions, and model results

  • Present findings and recommendations to technical and nontechnical stakeholders

  • Support integration of analytics into operational or decisionsupport workflows

Data Scientist III

  • Analyze large and complex datasets to identify trends, patterns, and insights
  • Develop and apply statistical models or machine learning techniques as appropriate
  • Design and maintain dashboards, visualizations, and analytic products
  • Translate mission or business questions into analytic approaches and outputs
  • Validate data quality, assumptions, and model results
  • Present findings and recommendations to technical and nontechnical stakeholders
  • Support integration of analytics into operational or decisionsupport workflows

Do you have what it takes?
  • TS/SCI with Poly Required

Data Scientist I

  • 1-4 years of experience supporting data analysis or analytics projects
  • Familiarity with Python, R, SQL, or similar analytical tools
  • Familiarity with tools such as Jupyter, Tableau, Power BI, or similar
  • Basic understanding of statistics and data visualization
  • Strong analytical and communication skills
  • 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, operational, or enterprise data sets, Familiarity with tools such as Jupyter, Tableau, Power BI, or similar

Data Scientist II

  • 5-9 years of experience in data analytics or data science roles
  • Strong proficiency with Python or R and SQL
  • Experience with statistical analysis, modeling, or machine learning techniques
  • Strong written and verbal communication skills
  • Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • Preferred Qualifications: Experience supporting IC, DoD, or DOJ mission programs, Experience working with operational, intelligence, or enterprise data, Familiarity with cloudbased analytics environments, Experience with Agile delivery environments

Data Scientist III

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • 10+ years of experience in data analytics or data science roles
  • Strong proficiency with Python or R and SQL
  • Experience with statistical analysis, modeling, or machine learning techniques
  • Strong written and verbal communication skills
  • Preferred Qualifications: Experience supporting IC, DoD, or DOJ mission programs, Experience working with operational, intelligence, or enterprise data, Familiarity with cloudbased analytics environments, Experience with Agile delivery environments

Pay Range: VTG’s estimated starting pay range is $105,000 - $215,000 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:
  • TS/SCI with Poly Required

Data Scientist I

  • 1-4 years of experience supporting data analysis or analytics projects
  • Familiarity with Python, R, SQL, or similar analytical tools
  • Familiarity with tools such as Jupyter, Tableau, Power BI, or similar
  • Basic understanding of statistics and data visualization
  • Strong analytical and communication skills
  • 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, operational, or enterprise data sets, Familiarity with tools such as Jupyter, Tableau, Power BI, or similar

Data Scientist II

  • 5-9 years of experience in data analytics or data science roles
  • Strong proficiency with Python or R and SQL
  • Experience with statistical analysis, modeling, or machine learning techniques
  • Strong written and verbal communication skills
  • Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • Preferred Qualifications: Experience supporting IC, DoD, or DOJ mission programs, Experience working with operational, intelligence, or enterprise data, Familiarity with cloudbased analytics environments, Experience with Agile delivery environments

Data Scientist III

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • 10+ years of experience in data analytics or data science roles
  • Strong proficiency with Python or R and SQL
  • Experience with statistical analysis, modeling, or machine learning techniques
  • Strong written and verbal communication skills
  • Preferred Qualifications: Experience supporting IC, DoD, or DOJ mission programs, Experience working with operational, intelligence, or enterprise data, Familiarity with cloudbased analytics environments, Experience with Agile delivery environments
Education:UNAVAILABLEEmployment Type: FULL_TIME