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Contract Machine Learning Data Scientist Jobs in Reston, VA

VTG

Data Scientist

Chantilly, VA

A Data Scientist represents an effective arbiter of strong technical knowledge and clear ... May use machine learning and statistical approaches based on the analysis of the dataset. May ...

VTG

Data Scientist

Chantilly, VA · On-site

A Data Scientist represents an effective arbiter of strong technical knowledge and clear ... May use machine learning and statistical approaches based on the analysis of the dataset. May ...

Cymertek

Data Scientist

Chantilly, VA · On-site

In this role, you will use advanced analytics, machine learning models, and statistical methods to ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

Cymertek

Data Scientist

Tysons, VA · On-site

In this role, you will use advanced analytics, machine learning models, and statistical methods to ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

Cymertek

Data Scientist

Reston, VA · On-site

In this role, you will use advanced analytics, machine learning models, and statistical methods to ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

The Work-Life Group

Data Scientist

Bethesda, MD · On-site

Required : • Bachelor's degree in Mathematics, Applied Mathematics, Applied Statistics, Machine Learning, Data Science, Computer Science or related field or equivalent combination of education and ...

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Contract Machine Learning Data Scientist information

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$39K

$127.7K

$204.4K

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

As of Jun 1, 2026, the average yearly pay for contract machine learning data scientist 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 are the key skills and qualifications needed to thrive as a Contract Machine Learning Data Scientist, and why are they important?

To excel as a Contract Machine Learning Data Scientist, you need a strong background in statistics, programming (Python/R), and applied machine learning, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP, Azure), and version control systems is essential, along with experience deploying models in production. Exceptional problem-solving abilities, communication skills, and adaptability help you translate business needs into actionable data solutions and quickly integrate into new teams. These skills are crucial for delivering high-impact, reliable machine learning solutions on tight project timelines and in diverse organizational environments.

How do contract machine learning data scientists typically collaborate with in-house teams during a project?

Contract machine learning data scientists often work closely with in-house data teams, product managers, and engineers to align project goals and deliverables. They frequently participate in virtual meetings, code reviews, and regular progress updates to ensure transparency and seamless integration of their work. Effective communication and documentation are critical, as contractors may need to quickly adapt to the company's workflows and tools. This collaborative environment enables contractors to contribute specialized expertise while staying attuned to the broader objectives of the organization.

What is a Contract Machine Learning Data Scientist?

A Contract Machine Learning Data Scientist is a professional who works on a temporary or project-based basis to build, implement, and optimize machine learning models for organizations. Unlike full-time employees, contract data scientists are hired for specific projects or timeframes and may work independently or as part of a team. Their responsibilities typically include data cleaning, feature engineering, model selection, and communicating insights to stakeholders. Contract roles offer flexibility for both the professional and the employer, often focusing on specialized tasks or filling short-term skill gaps.

What is the difference between Contract Machine Learning Data Scientist vs Contract Data Scientist?

AspectContract Machine Learning Data ScientistContract Data Scientist
CredentialsTypically requires advanced degrees in data science, machine learning, or related fieldsRequires similar degrees but may have a broader focus on data analysis
Work EnvironmentOften in tech, finance, or healthcare industries focusing on ML projectsVaries across industries, including marketing, finance, and consulting
Employer UsageUsed by companies developing AI/ML solutions or productsEmployed for data analysis, reporting, and strategic insights
Search & Comparison IntentOften searched by those interested in AI/ML-specific rolesMore general, related to data analysis roles

The main difference is that Contract Machine Learning Data Scientists focus on developing and implementing machine learning models, while Contract Data Scientists may handle broader data analysis tasks without necessarily specializing in ML. Both roles require strong analytical skills and relevant credentials, but their project focus and industry applications differ.

What are popular job titles related to Contract Machine Learning Data Scientist jobs in Reston, VA? For Contract Machine Learning Data Scientist jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Data Scientist jobs in Reston, VA look for? The top searched job categories for Contract Machine Learning Data Scientist jobs in Reston, VA are:
What cities near Reston, VA are hiring for Contract Machine Learning Data Scientist jobs? Cities near Reston, VA with the most Contract Machine Learning Data Scientist job openings:
Contract Machine Learning Data Scientist jobs near you

Senior Data Scientist / AI Machine Learning Research Engineer

CACI bv

Sterling, VA • On-site

Full-time

Posted 4 days ago

Job description

Job Summary:
CACI is seeking a Senior Data Scientist / AI Machine Learning Research Engineer to apply machine learning and statistics to develop algorithms for challenging problems in signal processing and computer networking. The role involves leveraging expertise in machine learning, data science, and signal processing to solve complex challenges in the RF domain.
Responsibilities:
• Strong mathematical foundation in statistics, linear algebra, and calculus with demonstrated ability to understand and implement machine learning algorithms from first principles rather than solely relying on pre-built libraries.
• Proficiency in designing and building data pipelines, including experience with ETL processes, data warehousing solutions, and optimizing workflows for large-scale data processing.
• Hands-on experience with cloud-based infrastructure (e.g., AWS, Azure, GCP) for deploying ML solutions, including containerization, orchestration, and CI/CD pipelines for model deployment.
• Programming expertise in Python and SQL, with experience using data engineering frameworks (e.g., Spark, Airflow) and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Demonstrated experience in establishing ML governance practices, including version control for datasets and models, experiment tracking, model monitoring, and implementing reproducible research principles.
Qualifications:
Required:
• Master’s degree in quantitative field with mathematical underpinnings and at least 7 years’ experience.
• Experience developing models.
• Strong background in machine learning, mathematics and statistics.
• Comfortable using Linux operating systems and commonly used Linux utilities.
• Must be a US Citizen with the ability to obtain, maintain and/or transfer the required security clearance as dictated by the contract.
• Must have active Top Secret Clearance with the ability to obtain SCI with Polygraph.
Preferred:
• Ph.D. in computer science, computer engineering, or machine learning, Statistics, applied mathematics or Physics.
• Experience applying machine learning to signal processing and/or other time-series data analysis applications.
• Knowledge of or experience with information theory, probability theory, parametric and non-parametric statistical tests.
• Familiarity with concepts and techniques associated with adversarial AI and AI/ML assurance.
• Active Top Secret/SCI clearance preferred.
Company:
CACI levert, implementeert en beheert bedrijfskritische oplossingen voor het Hoger Onderwijs: het StudentInformatieSysteem OSIRIS en LISA voor zaakgericht werken. Founded in 1997, the company is headquartered in Amsterdam, NLD, with a team of 51-200 employees. The company is currently Growth Stage.

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