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Contract Machine Learning Data Scientist Jobs in Reston, VA

Data Scientist

Chantilly, VA ยท 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 ...

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 ...

Data Scientist

Chantilly, VA ยท On-site

$165K - $210K/yr

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 ...

... modeling, machine learning, deep learning, data visualizations, and data management. โ€ข Depending on the specific position, data scientists may also need knowledge on other fields such as ...

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 ...

Data Scientist

Chantilly, VA ยท On-site

$120 - $170/hr

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 ...

Data Scientist

Reston, VA ยท On-site

$90 - $140/hr

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 ...

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 ...

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 ...

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 ...

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Contract Machine Learning Data Scientist information

See Reston, VA salary details

$39K

$127.7K

$204.4K

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

As of Aug 25, 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 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 are the key skills and qualifications needed to thrive as a contract machine learning data scientist?

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 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:

Data Scientist

Chantilly, VA โ€ข On-site

Socket.dev
Network Securityย โ€ขย 1 - 10 employees

$100 - $140/hr

Other

Posted 19 days ago


Job description

Overview

VTG is looking for a Level 2 and Level 3 Data Scientist in Chantilly VA. (Note: position is contingent upon program award)

What will you do?

A Data Scientist represents an effective arbiter of strong technical knowledge and clear communication to inform decision makers and warfighters. Main responsibilities include a strong understanding of statistical methods, predictive modeling, machine learning, deep learning, data visualizations, and data management. Depending on the specific position, data scientists may also need knowledge of other fields such as cybersecurity or business analytics. They must be comfortable with regularly interacting with the customer/warfighter to receive feedback, guide future work, and present information to decision makers. The impact an experienced data scientist can have on an organization is immense, including automating manual processes, predicting future trends, and detecting anomalies.

Data Scientist, Level 2 (Intermediate)

  • 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 patterns, anomalies, and potential security concerns, and support data management.
  • May use machine learning and statistical approaches, prepare visualizations (dashboards, graphs, presentations) to communicate recommendations.
  • May conduct/support data engineering and data management, assist with selecting appropriate analytical approaches towards automation.
  • Reviews and defines requirements for data science cybersecurity approaches.
  • Tools: AWS, Spark, Kafka, Tableau, Python (TensorFlow, PyTorch), R (tidyverse, RShiny), Splunk, Agile/Scrum/Jira/Confluence preferred.

Data Scientist, Level 3 (Senior)

  • Oversees data science techniques for cybersecurity solutions, building on Level 2 responsibilities.
  • Leads teams to extract, transform, load, analyze, and interpret IA data, provide reports on patterns, anomalies, and security concerns, and support data management.
  • Advises on machine learning and statistical approaches, presents visualizations, dashboards, graphs, and presentations to communicate recommendations.
  • Spearheads data engineering and data management, advises on appropriate analytical approaches toward automation.
  • Establishes requirements for data science cybersecurity approaches.
Do you have what it takes?

Requirements:

All positions require: TS/SCI with Poly

Level 2 Data Scientist Qualifications:

  • Bachelorโ€™s degree or equivalent and five (5) years of relevant experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field, preferably with exposure to cybersecurity applications and/or operations.
  • Strong knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies.

Level 3 Data Scientist Qualifications:

  • Bachelorโ€™s degree or equivalent and seven (7) years of relevant experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field, preferably with exposure to cybersecurity applications and/or operations.
  • Expert knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies.
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