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Weekend Data Science Jobs in Washington, DC (NOW HIRING)

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 ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

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 ...

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 ...

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

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 ...

Showing results 41-60

Weekend Data Science information

See Washington, DC salary details

$42.5K

$139K

$222.6K

How much do weekend data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for weekend data science in Washington, DC is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 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 Washington, DC?

The most popular types of Data Science jobs in Washington, DC are:

What are popular job titles related to Weekend Data Science jobs in Washington, DC?

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

What job categories do people searching Weekend Data Science jobs in Washington, DC look for?

The top searched job categories for Weekend Data Science jobs in Washington, DC are:

Infographic showing various Weekend Data Science job openings in Washington, DC as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

Senior Data Science Consultant

National Science Teachers Association

Washington, DC • On-site

$140 - $190/hr

Other

Posted 9 days ago


Job description

Role: Senior Data Science Consultant

Location: Washington, DC

Education: M.A./M.S. Degree (Any Field or Major)

Years of Experience: 10+ years of general work experience (Any Field / Industry)

Clearance Level & Investigation: Current/Active TS with ability to obtain & hold TS SCI / TS SCI Caveats for duration of program

Citizenship: U.S.

DoD 8140 Cyber Workforce Qualifications: None

Required Certifications: Palantir Foundry Application Developer certification

Job Description:

Qualifications:

  • Works on high-visibility or mission critical aspects of a given program.
  • Performs all functional duties independently.
  • May oversee the efforts of less senior staff and/or be responsible for the efforts of all staff assigned to a specific job.
  • Supports analytical workflow enablement, sustainment, and scaling of data products across an enterprise.
  • Utilizes enterprise data platform capabilities to support analytics, automation, and decisions.
  • Supports configuration and use of Government-directed data platform capabilities to enable data analysis, monitoring, reporting, and automation.
  • Requires an M.A. or M.S. Degree in any field or major.
  • Must have 10+ years of general work experience in any field or industry.
  • Must hold a current, active Top-Secret clearance and have ability to obtain/maintain a TS SCI / TS SCI Caveats for duration of program.
  • Must be a current legal citizen of the United States.
  • Must hold a Palantir Foundry Application Developer certification.

Responsibilities:

Mission Assurance Assessment Support:

  • Provide Mission Assurance assessment support services to enable Customer to plan, coordinate, augment, analyze, & manage assessments conducted; provide assessment-related activities as supporting capability.
  • Perform assessment process support, data collection and stewardship, analytical exploitation of assessment data, & integration of assessment outputs with Mission Analysis, Critical Asset Identification, and Risk Management activities.

Assessment Data Analysis and Advanced Analytics

  • Support analysis & exploitation of assessment data to enable improved decision-making across enterprise; support Customer’s role as steward for Mission Assurance assessment data, ensuring assessment-related data collected, structured, governed, & analytically usable IAW Government direction & Mission Assurance data governance requirements.
  • Collect, aggregate, normalize, & analyze assessment data, including data derived from DoW Assessments, USAF-specific assessment activities, & related stakeholder reports.
  • Integrate & synthesize assessment data to identify trends, systemic vulnerabilities, recurring dependencies, cross-mission risk drivers, & enterprise-level patterns.
  • Integrate assessment data with mission mapping, critical capability/asset identification, & criticality analysis outputs developed.
  • Collect & analyze data from other related assessments / data sources (e.g., Joint, Service, infrastructure, cyber, resilience, operational assessments) to enrich Mission Assurance analysis & reduce redundant data collection.
  • Develop & apply advanced analytical techniques, including artificial intelligence and machine learning methods, to extract insights from Assessment Reports & related stakeholder documentation.
  • Support development of analytical products, dashboards, models, & decision-support artifacts derived from assessment data using Government-directed data platforms / analytical tools.
  • Ensure traceability, data quality, & analytical transparency across assessment data sources / derived analytical products.

Mission Assurance Data Platform Enablement & Analytical Support:

  • Provide data platform enablement & analytical support to ensure data, models, & analytical products developed are usable, scalable, maintainable, & decision relevant.
  • Provide cross-cutting data workflow, analytics, & platform utilization support; execute data activities in direct support of mission analysis, assessment, risk management, monitoring, & governance activities.
  • Use Government-directed enterprise data platforms and services.
  • Support business process workflows executed for planning, coordination, governance, & decision-making; enable, sustain, & improve related workflow processes, coordination activities, & knowledge management practices implemented within Government-directed enterprise data platforms.
  • Support management / execution of Mission Assurance data projects within Government-directed enterprise data platforms; support analytical workflow enablement, sustainment, & scaling of data products, analytics, & workflows that enable Mission Assurance execution across enterprise, including workflows supporting coordination, governance cycles, reporting, task tracking, & internal business processes.
  • Perform data platform support within t enterprise data platform environment; requires proficiency in utilizing enterprise data platform capabilities to support analytics, automation, & decision support, consistent with capabilities available to other enterprise data platform users.

Analytical Support to Mission Assurance Activities

  • Provide analytical & data workflow support to contract enterprise activities.
  • Support analytical needs of Mission Analysis, Assessment Support, & Risk Management activities, including data preparation, transformation, modeling, & visualization.
  • Support ad hoc & recurring analytical requests from Customer, DAF stakeholders, MAJCOM representatives, & DoW stakeholders.
  • Support analytical workflow enablement & sustainment of dashboards, monitoring views, & decision-support products using Government-directed data platforms.
  • Support implementation of analytical automation to reduce manual data handling & improve timeliness / consistency of products.
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