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Scientist Jobs in Springfield, VA (NOW HIRING)

College of Science Classification: Research Staff 12-month Job Category: Research Staff Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location: Fairfax, VA Workplace Type: Hybrid ...

Overview VTG is seeking a talented and experienced Data Scientist to join our dynamic and innovative team in Herndon, VA/Chantilly, VA. What will you do? * Collect, clean, and analyze large, complex ...

Overview VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of experience leveraging data to drive business insights and decision-making. The ideal candidate will have ...

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Data Scientist - FTE Location: Arlington, VA (Onsite) Visa: USC/TN Duration: Full Time - FTE Role: Develop & maintain data analytics solutions and machine learning algorithms. Mentor junior data ...

New

Overview VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of experience leveraging data to drive business insights and decision-making. The ideal candidate will have ...

Bioinformatics Scientist

Bethesda, MD · On-site

$65K - $108K/yr

Scientist Travel Required: None Clearance Required: Ability to Obtain Public Trust What You Will Do: We are looking for a Bioinformatics Scientist (Scientist V) in the IBIS Core to support the ...

Showing results 21-40

Scientist information

See Springfield, VA salary details

$48

$51

$54

How much do scientist jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for scientist in Springfield, VA is $51.96, according to ZipRecruiter salary data. Most workers in this role earn between $50.72 and $53.22 per hour, depending on experience, location, and employer.

What are some scientist jobs?

Scientist jobs include roles such as research scientists, laboratory scientists, data scientists, environmental scientists, and biomedical scientists. These positions often require specialized knowledge in a field, analytical skills, and proficiency with tools like microscopes, laboratory equipment, or data analysis software. They can be found in industries like healthcare, environmental management, technology, and academia.

What does a scientist do?

A Scientist is a professional who conducts research to increase knowledge in a specific field, such as biology, chemistry, physics, or environmental science. They design and perform experiments, analyze data, and publish their findings to advance understanding and solve real-world problems. Scientists may work in laboratories, universities, government agencies, or private industry. Their work often contributes to technological advancements, public health, and policy development.

What does a scientist do?

Scientists work in a remarkably diverse array of industries. Companies employ scientists to develop and improve products. Universities hire scientists to teach and do research in different disciplines; healthcare companies have a team of scientists working on medications, vaccines, and new treatments; and governments employ scientists to help with public projects. Scientists not only perform their specific job duties, but they contribute to the broader scientific community to increase knowledge of the physical world.

What is the difference between Scientist vs Chemist?

AspectScientistChemist
Required CredentialsBachelor's, Master's, or PhD in science-related fieldsBachelor's, Master's, or PhD in chemistry or related disciplines
Work EnvironmentResearch labs, universities, industry settingsLaboratories, manufacturing plants, research institutions
Industry UsageBroadly used across scientific research, academia, industryPrimarily in chemical manufacturing, pharmaceuticals, quality control

While both Scientists and Chemists work in research and laboratory settings, Scientists have a broader scope across various scientific fields, whereas Chemists specialize specifically in chemistry. Chemists often focus on chemical reactions, compounds, and materials, while Scientists may work in multiple disciplines such as biology, physics, or environmental science. The roles overlap in credentials and work environments, but their specific focus areas differ based on industry needs.

What are the key skills and qualifications needed to thrive as a scientist, and why are they important?

To thrive as a Scientist, you need a solid background in your scientific discipline, strong analytical skills, and typically at least a bachelor's or advanced degree in a relevant field. Familiarity with laboratory equipment, data analysis software (such as MATLAB or R), and adherence to safety protocols are commonly required. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating and sharing findings. These skills ensure rigorous research, reliable results, and impactful contributions to scientific advancement.

What are the jobs of scientists?

Scientists conduct research to increase knowledge in specific fields such as biology, chemistry, physics, or environmental science. Their tasks include designing experiments, analyzing data, and developing new theories or products, often working in laboratories or field settings. They also prepare reports, publish findings, and may collaborate with other professionals or communicate results to the public.

What are some common challenges scientists face when working on multidisciplinary research teams?

Scientists often collaborate with experts from various fields, which can present challenges such as differing terminologies, research methodologies, and expectations. Navigating these differences requires strong communication skills, adaptability, and a willingness to learn from other disciplines. Successful multidisciplinary teamwork often leads to innovative solutions, but it also demands effective project management and regular coordination to ensure all team members are aligned toward shared goals.
What are the most commonly searched types of Scientist jobs in Springfield, VA? The most popular types of Scientist jobs in Springfield, VA are:
What are popular job titles related to Scientist jobs in Springfield, VA? For Scientist jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Scientist jobs in Springfield, VA look for? The top searched job categories for Scientist jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Scientist jobs? Cities near Springfield, VA with the most Scientist job openings:
Infographic showing various Scientist job openings in Springfield, VA as of August 2026, with employment types broken down into 2% Internship, 1% As Needed, 79% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $108,087 per year, or $52 per hour.

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

78th of 223 rated it services


Job description

SAIC is seeking a Data Scientist to provide Systems Engineer Technical Advisor (SETA) services for a critical position on SAIC's Prime Program, Landmark AOS. Landmark AOS is a large SETA program, supporting the NRO's Ground Enterprise Directorate (GED), responsible for the acquisition of systems over the complete end-to-end life cycle.

Note:  All candidates must have an active TS/SCI clearance with Polygraph to be considered for this role.

As the Data Scientist, you will provide specialized technical and engineering expertise supporting the acquisition of software services reliant on artificial intelligence and machine learning (AI/ML). SAIC's client is tasked with leading the integration of mission focused tools to foster increased efficiency, automation and information sharing.  You will also assist and advise Government managers responsible for the complete end-to-end life cycle of the customer's Ground Enterprise.

Job Responsibilities to include:

  • Provide data collection and analysis to enable transparency and explainability of AI/ML systems.
  • Provide technical and engineering support to the Government customer to manage machine learning analytics programs; apply knowledge and experience to develop and scale AI/ML models in multiple phenomenologies.  
  • Provide software architecture and other technical expertise to support the planning of future systems and architectures, and oversight of development contractors.
  • Apply systems analysis and design methodology assessments to identify technical debt, architectural runway and efficiency trade-offs against current and proposed/desired cloud-based software system design.
  • Develop briefings and documentation material to illustrate features, capabilities and mission use cases for the computer vision tool portfolio, including developing technical roadmaps and the acquisition strategies/documentation to implement them.
  • Facilitate technical and programmatic interchanges; identify and resolve issues; and provide engineering and technical advice to the customer to achieve innovative capabilities for automated machine learning analytics.
  • You will work side-by-side with the other LANDMARK AOS staff comprised of world class System Engineers, Acquisition Engineers and Domain Experts to lead the customer in acquiring modern processing applications.
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Required Education and Experience

  • Bachelors and two (2) years or more experience; Masters and 0 years related experience.
  • Active Top Secret Clearance with Polygraph.
  • Strong engineering background with knowledge of software architectures and machine learning approaches.
  • Experience with ontologies, training dataset generation, model evaluation and validation, and responsible AI practices.
  • Domain knowledge in Agile software development practices (Scrum, SAFe) and cloud computing architectures with experience monitoring software development progress via agile metrics, identifying risks, discrepancies, and performance issues.
  • Demonstrated high level of initiative, creative problem-solving, and critical thinking.
  • Demonstrated capability and success working in team environments.
  • Strong oral and written communications ability on significant technical matters often requiring coordination within a high-tempo environment.
  • Good working knowledge of MS Office applications.

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