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

Tulk LLC

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 ...

Blend360

Associate Director of Data Science

Columbia, MD

$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 ...

Bytoa

Data Science Software Engineer

Columbia, MD · On-site

$185K - $200K/yr

Join us as a Data Scientist supporting a high-impact mission. We are looking a motivated and mission-driven engineer and scientist to help develop and shape how SIGINT data is processed, modeled, and ...

Blend360

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 ...

Peraton

Data Science, Associate - Herndon, VA

Herndon, VA · On-site

$66K - $106K/yr

Apply data science and analytical techniques to support mission and business objectives within an Agile development environment. * Collect, clean, transform, and analyze large and complex datasets to ...

Peraton

Data Science, Associate - Herndon, VA

Herndon, VA · On-site

$66K - $106K/yr

Apply data science and analytical techniques to support mission and business objectives within an Agile development environment. * Collect, clean, transform, and analyze large and complex datasets to ...

Peraton

Data Science, Associate - Herndon, VA

Herndon, VA · On-site

$66K - $106K/yr

Apply data science and analytical techniques to support mission and business objectives within an Agile development environment. * Collect, clean, transform, and analyze large and complex datasets to ...

VTG

Data Scientist

Chantilly, VA

$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 ...

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 ...

YO AI Labs

AI Data Science Expert - Remote

Washington, DC · Remote

$100 - $200/hr

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 ...

Socket.dev

Data Scientist

Chantilly, VA · On-site

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 ...

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 ...

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Showing results 21-40

All JobsData Science JobsWeekend Data Science JobsWeekend Data Science Jobs in Washington, DC

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 Sep 14, 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:

Weekend Data Science jobs near you
Infographic showing various Weekend Data Science job openings in Washington, DC as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

Data Science, AI, Statistical Modeling

Chantilly, VA • On-site

Science Applications International Corporation
IT Services • 10K+ employees
Learn more about Science Applications International Corporationexternal

Full-time

Posted 6 days ago

SAIC rating

7.7

Company rating: 7.7 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

Job description


SAIC is seeking Data Scientist with deep expertise in AI/ML, advanced statistical modeling, and computer vision/OCR to design, develop, and deploy data-driven solutions that support mission-critical objectives. The ideal candidate combines strong quantitative skills with hands-on engineering experience, and can translate complex business or mission needs into scalable analytical and AI solutions.
You will work closely with subject-matter experts to understand requirements and translate those requirements into technical solutions to .to build models that extract value from structured and unstructured data, including images, documents, and text. Additionally, the models must detect changes from a defined baseline and incorporate the results into customer required report formats.
Key Responsibilities
AI & Machine Learning
  • Design, build, and validate machine learning models (supervised, unsupervised, and semi-supervised) for prediction, classification, clustering, and change detection..
  • Develop and maintain end-to-end ML pipelines, including data preparation, feature engineering, model training, evaluation, and deployment.
  • Apply deep learning techniques (e.g., CNNs, RNNs/LSTMs/Transformers) where appropriate to solve complex business or mission problems.

Statistical Modeling & Analytics
  • Develop and apply statistical models (e.g., regression, generalized linear models, hierarchical/multilevel models, time series, survival analysis, experimental design) to support forecasting, risk assessment, and operational decision-making.
  • Perform rigorous exploratory data analysis (EDA) and statistical inference to identify patterns, trends, drivers, and causal relationships.
  • Design and analyze A/B tests or other experiments to measure the impact of products, policies, or processes.
  • Communicate uncertainty, assumptions, and limitations of models using appropriate statistical methods.

Computer Vision & OCR
  • Develop computer vision and OCR solutions for image and document understanding, including detection, classification, segmentation, and feature extraction.
  • Implement document layout and entity extraction models (e.g., for forms, reports, scanned documents, PDFs) to convert unstructured visual content into structured data.
  • Fine-tune or customize pre-trained vision and OCR models to specific domains, languages, and document types.

Stakeholder Engagement & Communication
  • Partner with business, program, or mission owners to understand requirements, define measurable objectives, and translate them into analytical solutions.
  • Present results and recommendations to technical and non-technical stakeholders through clear reports, visualizations, and briefings.
  • Document methodologies, models, and processes for transparency, reproducibility, and knowledge transfer.

Qualifications
Required Qualifications
  • Active TS/SCI with Poly clearance
  • Must be a US Citizen
  • Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD and 0 years related experience
  • 3-5+ years (or equivalent hands-on experience) in data science, machine learning, or applied statistics.
  • Strong proficiency in Python (preferred) or R, including use of standard data science libraries
  • Demonstrated experience building and deploying machine learning and statistical models on real-world datasets.
  • Solid foundation in statistics and probability, including:
    • Hypothesis testing, confidence intervals, power analysis
    • Regression modeling (linear, logistic, regularization methods)
    • Time series or forecasting techniques
  • Hands-on experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
  • Proven experience in computer vision, including at least some of:
    • Image classification, object detection, or segmentation
    • Use of CNN-based architectures (e.g., ResNet, EfficientNet, YOLO, Mask R-CNN, etc.)
  • Practical experience with OCR and document understanding, including:
    • Implementing OCR workflows with open-source or cloud-based tools
    • Pre- and post-processing of scanned documents (denoising, deskewing, layout analysis, text normalization)
  • Experience working with relational databases and SQL; familiarity with NoSQL or data lakes is a plus.
  • Ability to write clean, modular, and reproducible code using version control (e.g., Git).
  • Strong problem-solving skills, attention to detail, and ability to work both independently and as part of a team.
  • Strong communication skills and ability to explain technical concepts to non-technical stakeholders.

About Us
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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