1

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

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 ...

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 ...

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 ...

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 ...

New

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 ...

You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication. Responsibilities include ...

You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication. Responsibilities include ...

You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication. Responsibilities include ...

You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication. Responsibilities include ...

You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication. Responsibilities include ...

You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication. Responsibilities include ...

You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication. Responsibilities include ...

You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication. Responsibilities include ...

Showing results 41-60

Weekend Data Science information

See Ashburn, VA salary details

$38.3K

$125.5K

$200.9K

How much do weekend data science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for weekend data science in Ashburn, VA is $125,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $139,100.00 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 Ashburn, VA?

The most popular types of Data Science jobs in Ashburn, VA are:

What are popular job titles related to Weekend Data Science jobs in Ashburn, VA?

For Weekend Data Science jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in Ashburn, VA look for?

The top searched job categories for Weekend Data Science jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Weekend Data Science jobs?

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

Data Scientist

Two Six Technologies

Arlington, VA • On-site, Remote

Full-time

Re-posted 28 days ago


Job description

We're looking for an experienced Data Scientist or Senior Data Scientist to join one of our cross-functional product development teams here at Two Six Technologies. Our teams are building capabilities to identify, plan, and deliver effects in the information operations space, and aim to provide a complete end-to-end solution to customers wishing to detect, analyze, and respond to events in real time. We combine signal-rich proprietary data, novel AI-powered technology, and world-class expertise to deliver valuable insights to our US government and Fortune 50 clients. 

We're seeking a curious and passionate Data Scientist who will help our customers discover the information hidden in vast amounts of data to sense, make sense, and act in the Information Environment. In this role, you will work autonomously to find creative solutions and tackle challenging problems with cutting-edge technology, with a current focus on Agentic AI. The role is a great fit if you're motivated by autonomy, innovation, and mission-focused data problems in uncharted territory to advance missions of national security.

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 experiment with a range of data science techniques to build tools and produce insights. Our team works with agentic and generative AI, machine learning, network analysis, sampling methodologies, multi-language NLP, data visualization, and more.

Responsibilities

  • Work with our product and customer support teams to turn abstract customer needs into concrete data science and/or engineering problems
  • Experiment with and evaluate potential solutions to develop high quality prototypes
  • Work with our engineering team to turn prototypes into scalable production-level software
  • Work on agentic systems - designing prototypes, adding tools, evaluating effectiveness
  • Be responsible for projects that span statistical and mathematical reasoning, business communications and leadership, and software development
  • Contribute to the product roadmap both near-term tactical and  longer-term strategic levels
  • Experiment with a range of data science techniques to produce insight, including machine learning, deep learning, network analysis, sampling methodologies, text analytics in multiple languages and data visualization
  • Design and execute experiments to evaluate the integrity of our data sampling and data collection strategies
  • Work on ad-hoc analyses or build prototype tools to support our subject matter expert and customer support teams
  • Participate in strategic discussions about the direction data science should be taking the company

Here are some of the skills and experience that will help you thrive in this role:

  • Background
    • Strong quantitative background with Bachelor's degree in Physics, Computer Science, Math, Statistics, Economics, Engineering, or similar field. Higher degrees preferred
    • You have 3+ years experience in a Data Science role (or 1+ with a PhD), including 2+ years experience with Python programming language (Intermediate-level or higher)
  • Technical
    • Experience with agentic and generative AI. Examples include
      • Building agentic systems
      • Building tools for agentic systems
      • Evaluating agentic systems and/or generative AI solutions
      • LangChain and/or LangGraph frameworks
      • Model Context Protocol and Agent2Agent Protocol
      • Prompt engineering
      • Leveraging LLMs within analytical pipelines
      • Training or fine-tuning LLMs
    • Experience with Machine Learning, including
        • Feature selection/engineering
        • Model training
        • Model evaluation
        • Supervised and Unsupervised ML
        • Simulation
        • Anomaly detection
    • A good understanding of statistics, including familiarity with statistical tests, distributions, and maximum likelihood estimators
    • Previous experience with code version control
    • Familiarity with software development processes and tools like the Agile methodology and Jira
  • Project Ownership
    • You've scoped and planned data science projects and have the ability to creatively navigate technical limitations, iterate to solve hard questions, and learn quickly and independently.
    • You are comfortable leading solutions for ambiguous tasks and complex problems, and are capable of independently providing solutions that fit within the business strategy.
    • You propose pragmatic solutions that are as simple as possible and can be iterated upon
    • You're comfortable working remotely on a distributed data science team with a diverse set of skills and life experiences, while embedded in a product team as owner of data science innovations to the product.
  • Communication
    • You have strong written and verbal communication skills to both technical and non-technical customers. You have experience participating in meetings with a multitude of stakeholders (e.g., Product, Engineering, Operations, Management) and can communicate in a crisp manner. Mastery of English is required for this role, including communication at all levels of technical expertise.

Clearance: Must be eligible and willing to obtain a clearance.

Travel: Up to 10% Travel
#LI-MS1