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Support Scientist Jobs in Virginia (NOW HIRING)

Data Scientist

Chantilly, VA · On-site

$100 - $140/hr

May conduct/support data engineering and data management, assist with selecting appropriate analytical approaches towards automation. * Reviews and defines requirements for data science cybersecurity ...

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

A Data Scientist represents an effective arbiter of strong technical knowledge and clear ... May conduct and/or support data engineering and data management. May assist with the selection of ...

The role involves applying data science techniques, particularly in cybersecurity solutions, to analyze data, create visualizations, and support data management efforts. Responsibilities : • A Data ...

A Data Scientist represents an effective arbiter of strong technical knowledge and clear ... May conduct and/or support data engineering and data management. May assist with the selection of ...

The Research Scientist will join the Coastal Systems Modeling Group within CCRM to support and advance research in coastal hydrodynamics, water quality processes, and next-generation operational ...

VTG is looking for a Data Scientist in Chantilly, VA, to support government and program teams with data analysis, visualization, and reporting. The role involves performing data analysis and modeling ...

Data Scientist

Chantilly, VA · On-site

$150 - $181/hr

Title: Data Scientist Data Scientist provides Systems Engineering and Technical Assistance (SETA) support to our customer's mission by evaluating, assessing, and improving advanced analytics ...

Data Scientist

Chantilly, VA · On-site

$150K - $181K/yr

Data Scientist The Data Scientist provides Systems Engineering and Technical Assistance (SETA) support to our customer's mission by evaluating, assessing, and improving advanced analytics ...

CACI is seeking a Data Scientist to support Joint Interagency Task Force 401 (JIATF 401). The Data Scientist will develop advanced analytical models, artificial intelligence (AI) capabilities, and ...

As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

Description Tharros is actively pursuing an opportunity to support the Air Force Mission Assurance ... Tharros is seeking a Data Scientist to serve as the program's senior analytical authority, leading ...

Data Scientist

Chantilly, VA · On-site

$150K - $181K/yr

Data Scientist The Data Scientist provides Systems Engineering and Technical Assistance (SETA) support to our customer's mission by evaluating, assessing, and improving advanced analytics ...

As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

ECS seeks a Data Scientist to support the development and integration of Big Data/Cloud Solutions. The candidate will have experience in managing, manipulating, storing and parsing data for various ...

As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

Showing results 21-40

Support Scientist information

See Virginia salary details

$50.1K

$110.4K

$136.3K

How much do support scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for support scientist in Virginia is $110,388.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $135,800.00 per year, depending on experience, location, and employer.

What is a support scientist?

A Support Scientist assists research teams by providing technical expertise, data analysis, and operational support for scientific projects. They work in laboratories, research institutions, or government agencies, helping to set up experiments, maintain equipment, and analyze results. Their role bridges the gap between researchers and technical staff, ensuring that scientific processes run smoothly. Depending on the field, they may also develop software tools, troubleshoot instrumentation, or contribute to publications.

What does a support scientist do?

A typical day for a Support Scientist involves assisting research teams with experiment setup, troubleshooting technical issues, maintaining and calibrating laboratory equipment, and analyzing data collected from experiments. You may also be responsible for preparing samples, monitoring laboratory inventory, and documenting findings in accordance with laboratory protocols. Collaboration is common—you'll often interact with scientists, lab managers, and technical staff to ensure research projects run efficiently. This dynamic environment keeps the work varied and provides valuable opportunities to learn from experienced professionals in the field.

What are the key skills and qualifications needed to thrive as a support scientist?

To thrive as a Support Scientist, you need a solid background in scientific principles, laboratory techniques, and data analysis—typically backed by a relevant science degree. Familiarity with specialized software for data management, laboratory information systems (LIMS), and common analytic tools is often required, and certifications in specialized scientific methods can be beneficial. Strong problem-solving skills, effective communication, and the ability to work collaboratively with research teams help individuals stand out in this role. These skills are crucial for ensuring high-quality scientific support, accurate data interpretation, and seamless project execution within research or technical environments.

What are the most commonly searched types of Support Scientist jobs in Virginia?

The most popular types of Support Scientist jobs in Virginia are:

What job categories do people searching Support Scientist jobs in Virginia look for?

The top searched job categories for Support Scientist jobs in Virginia are:

Infographic showing various Support Scientist job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $110,388 per year, or $53.1 per hour.

Data Scientist

Socket.dev

Chantilly, VA • On-site

$100 - $140/hr

Other

Re-posted yesterday


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:

  • Bachelor’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:

  • Bachelor’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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