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

SWE3 - Data Science

Laurel, MD · On-site

$200K - $275K/yr

Data Science skills/background * Experience with AWS * Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA) * Agentic AI * Large Language Models (LLM)

Data Science skills/background * Experience with AWS * Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA) * Agentic AI * Large Language Models (LLM)

Data Science skills/background * Experience with AWS * Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA) * Agentic AI * Large Language Models (LLM)

Description Data Science Analyst AArete is one-of-a-kind when it comes to consulting firm culture. We're a global, innovative management and technology consulting firm with offices in the U.S., India ...

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 ...

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 ...

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 ...

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 ...

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 ...

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Showing results 1-20

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 Jun 15, 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 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 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:

Full-time

Posted 9 days ago


Job description

Job Summary:
Technology Resource Experts, LLC is looking for an experienced Software Engineer to join their rapidly growing team! The contractor will develop and enhance compliance and business processing analytics tools, automate compliance functions, and investigate Machine Learning/AI algorithms.
Responsibilities:
• Contractor shall develop, enhance, and prototype compliance and business processing analytics and tools.
• Develop new methods for automating compliance functions and improve existing methods.
• Contractor will investigate, integrate, and test compliance modernization Machine Learning/AI algorithms and research proof-of-concepts in the RD environment.
• Contractor will develop models and implement appropriate metrics and monitoring of developed tools, functions, and data flows.
Qualifications:
Required:
• Experience with Java, Scala, and Python
• Experience with Lucene, JEXL, SQL, JSON
• Random Forest and ability to do feature development for Random Forest
• Experience with Machine Learning Model building and monitoring
• Experience developing in a Linux operating environment
• Experience with Ghostmachine (Map/Reduce)
• Experience with GM Learn
• Experience with Jupyter Notebooks
• Experience with IntelliJ and/or Eclipse
• Experience with Git/Gitlab and/or Stash/Bitbucket
• Experience with Jira
• Experience with Confluence
• Experience with Scikit-learn
• Agency Compliance standards, policies, and authorities
• Experience with Agency corporate systems
• Experience with documentation and reviewing documentation
• An active TS/SCI with polygraph is required.
• BS + 20 years experience
Preferred:
• Data Science skills/background
• Experience with AWS
• Experience implementing ML systems
• Experience with Spark
• Exploratory Data Analysis (EDA)
• Agentic AI
• Large Language Models (LLM)
• Machine Learning Feature Development
• Other Machine Learning models and techniques
Company:
Premier provider of system and solution support for the Federal Government, Academia, Defense Contractors, and Commercial Customers. Founded in 2017, the company is headquartered in Columbia, Maryland, US, , with a team of 2-10 employees. The company is currently Early Stage.