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

Data Science and Data Engineering Job Qualifications: Skills: Data Management, Metadata Standards, Visualization Certifications: None Experience: 5 + years of related experience US Citizenship ...

New

Data Science Associate

Chantilly, VA · On-site

$65K - $68K/yr

Master's Degree in Data Science, Analytics, Statistics, Computer Science, or a related quantitative field preferred * Bachelor's Degree in a STEM discipline with strong analytical coursework ...

Posted today

Data Science SME Mid

Fort Belvoir, VA · On-site

$115K - $157K/yr

Data Science SME Mid 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 ...

In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization. * Lead the ...

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization. * Lead the ...

Data Scientist

Fort George G Meade, MD · On-site

$132.75 - $197.20/hr

Data science at the National Security Agency (NSA) is a multi-disciplinary field that uses elements of mathematics, statistics, computer science, and application-specific knowledge to gather, make ...

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 ...

Showing results 21-40

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 9, 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.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends if their projects or deadlines require it, but many roles follow a standard weekday schedule. Flexibility depends on the employer, project needs, and whether the position involves on-call or urgent tasks. Typically, data science roles are performed during regular business hours, but some positions may require weekend work for data collection, analysis, or reporting.

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 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 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.

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 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 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

Data Science Practitioner

Accenture Federal Services

Suitland, MD • On-site

Full-time

Re-posted 26 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

44th of 485 rated business services


Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve lives. The Data Science Practitioner will manage and analyze big data to produce insights, oversee data science projects, and ensure data governance while collaborating with cross-functional teams.
Responsibilities:
• Manage, architect and analyze big data in order to build data driven insights and high impact data visualizations
• Drive data-driven decision-making across the organization
• Oversee the end-to-end lifecycle of data science projects, from data collection and preparation to model development and deployment
• Design and implement robust data pipelines, ensuring seamless data flow and accessibility for analytical purposes
• Establish and enforce data governance frameworks, ensuring data integrity, security, and compliance with organizational standards
• Collaborate with cross-functional teams, translating complex data insights into actionable strategies that align with business objectives
• Create a value chain to help address the challenges of acquiring data, evaluating its value, distilling analyzing
• Examine data from multiple sources and share insights which provide competitive advantage
• Act as Subject Matter Expert in area of expertise and enhance Accenture's marketplace reputation
Qualifications:
Required:
• Develop Power BI reports and dashboards, providing insights into key performance indicators (KPIs) and streamlining data-driven decision making for stakeholders
• Experience analyzing existing systems & databases to understand, validate, and document content
• 100% onsite
• Active TS/SCI clearance required
Preferred:
• Good understanding of structured and unstructured data, various file types, data ETL, data pipelines, and ability to document
• Experience with Tableau
• Experience providing IT support as needed
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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