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Freelance Data Scientist Machine Learning Jobs in Reston, VA

Data Scientist (Active TS/SCI Clearance) Top Mandatory Skills * 8+ years of experience in Data Science, Machine Learning, or Analytics * Strong foundation in Statistics, Probability, Graph Theory, or ...

Machine Learning & AI Development * Design, develop, and deploy machine learning models to solve complex mission problems * Build predictive and prescriptive analytics solutions to support ...

Machine Learning & AI Development * Design, develop, and deploy machine learning models to solve complex mission problems * Build predictive and prescriptive analytics solutions to support ...

Machine Learning & AI Development * Design, develop, and deploy machine learning models to solve complex mission problems * Build predictive and prescriptive analytics solutions to support ...

Machine Learning & AI Development * Design, develop, and deploy machine learning models to solve complex mission problems * Build predictive and prescriptive analytics solutions to support ...

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity ...

Develop and validate machine learning models for classification, regression, clustering, anomaly detection, ranking, recommendation, and pattern discovery. * Architect end-to-end analytic workflows ...

Data Scientist

Chantilly, VA · On-site

$100 - $140/hr

May use machine learning and statistical approaches, prepare visualizations (dashboards, graphs ... Data Scientist, Level 3 (Senior) * Oversees data science techniques for cybersecurity solutions ...

Develop and validate machine learning models for classification, regression, clustering, anomaly detection, ranking, recommendation, and pattern discovery. * Architect end-to-end analytic workflows ...

Develop and validate machine learning models for classification, regression, clustering, anomaly detection, ranking, recommendation, and pattern discovery. * Architect end-to-end analytic workflows ...

Develop and validate machine learning models for classification, regression, clustering, anomaly detection, ranking, recommendation, and pattern discovery. * Architect end-to-end analytic workflows ...

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine ... Develop and validate machine learning models for classification, regression, clustering, anomaly ...

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Freelance Data Scientist Machine Learning information

See Reston, VA salary details

$39K

$127.7K

$204.4K

How much do freelance data scientist machine learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for freelance data scientist machine learning in Reston, VA is $127,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $141,500.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Data Scientist Machine Learning vs Freelance Data Analyst?

AspectFreelance Data Scientist Machine LearningFreelance Data Analyst
Required SkillsAdvanced statistical analysis, machine learning, programming (Python, R)Data cleaning, visualization, basic statistical analysis
Tools & TechnologiesTensorFlow, scikit-learn, Jupyter, cloud platformsExcel, Tableau, SQL
Work EnvironmentProject-based, consulting, remote or client sitesRemote, freelance consulting, client reports
Industry UsageTech, finance, healthcare, e-commerceMarketing, retail, finance, healthcare

Freelance Data Scientist Machine Learning professionals focus on developing predictive models and algorithms using advanced techniques, often requiring programming and statistical expertise. Freelance Data Analysts handle data interpretation, visualization, and reporting, typically with less technical complexity. Both roles are in high demand but differ in skill level, tools, and project scope.

What are popular job titles related to Freelance Data Scientist Machine Learning jobs in Reston, VA?

For Freelance Data Scientist Machine Learning jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Freelance Data Scientist Machine Learning jobs in Reston, VA look for?

The top searched job categories for Freelance Data Scientist Machine Learning jobs in Reston, VA are:

What cities near Reston, VA are hiring for Freelance Data Scientist Machine Learning jobs?

Cities near Reston, VA with the most Freelance Data Scientist Machine Learning job openings:

Senior Data Scientist / Machine Learning Engineer

Waypoint Human Capital

Mclean, VA

Full-time

Posted 17 days ago


Job description

Position Title: Senior Data Scientist / Machine Learning Engineer
Position Type: Full-Time, On-Site
Position Location: Tysons, VA
Clearance Required: Active TS/SCI with CI Polygraph or Full Scope Polygraph
Waypoint's client is seeking a dynamic Senior Data Scientist / Machine Learning Engineer with an active TS/SCI CI Poly or higher to join their team. The Senior Data Scientist / Machine Learning Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide federal customers with the information they need to make proper decisions and enable their digital transformation.
This position works directly with data scientists, software engineers, and subject matter experts to research, design, and deploy machine learning algorithms that support federal customers in digital transformation and data-driven decision making. They will contribute to new analytics capabilities and assist customers in building their own applications. This position requires a bachelor's degree in Computer Science, Electrical Engineering, Statistics, or a related field, 5 to 10 years of relevant experience, and strong Python and applied ML skills. An active TS/SCI with CI Polygraph or Full Scope Polygraph is required.
Responsibilities
The responsibilities include, but are not limited to:
  • Research, design, implement, and deploy Machine Learning algorithms for enterprise applications.
  • Assist and enable federal customers to build their own applications.
  • Contribute to the design and implementation of new features.

Required
  • Active Top Secret clearance with CI Polygraph or Full Scope Polygraph.
  • Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields required.
  • MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields preferred.
  • Minimum 5–10 years relevant work experience preferred.
  • Excellent programming skills in Python.
  • Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
  • Strong mathematical background (linear algebra, calculus, probability, and statistics).
  • Experience with scalable Machine Learning (MapReduce, streaming).
  • Ability to drive a project and work both independently and in a team.
  • Smart, motivated, can-do attitude, and seeks to make a difference.
  • Excellent verbal and written communication skills.
  • Passion for developing team-oriented solutions to complex engineering problems.
  • Thrive in an autonomous, empowering, and exciting environment.
  • Ability to collaborate across multiple functional teams to improve scalability.
  • Ability to convey highly technical concepts and information in written form to both technical and non-technical audiences.
  • Ability to work on multiple concurrent projects.
  • Strong self-motivation and the ability to work with minimal supervision.
  • Team-oriented, energetic, results- and delivery-focused, with a strong commitment to quality and meeting deadlines.
  • Ability to work in an Agile environment.

Desired
  • Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
  • Proficient in leveraging modern LLM tools to accelerate development workflows and enhance code quality.
  • Experience with deep learning.
  • Experience with natural language processing (NLP).
  • Experience with computer vision.
  • Experience with reinforcement learning.