Science Applications International
Science Applications International

60 Saic Program Analyst Jobs Hiring in VA

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Science Applications International Jobs Information

Do workers at SAIC get paid breaks?

Sometimes. Only some people get paid breaks.
38% of people say they don’t get paid breaks.
Based on data from 52 people who took the Breakroom Quiz between November 2024 and June 2026.

Does SAIC pay people when they’re sick?

Sometimes. Only some people get paid when they’re sick.
50% of people say they wouldn’t get paid if they were sick but scheduled to work.
Based on data from 38 people who took the Breakroom Quiz between June 2025 and June 2026.

At SAIC, are sick days and vacation days separate paid time off?

Sick days and vacation days are used from the same paid time off.
73% of people say they have to use vacation days when they’re out sick.
Based on data from 37 people who took the Breakroom Quiz between May 2025 and May 2026.

Is the health insurance from SAIC affordable enough for their workers?

Most people say the health insurance costs are okay.
85% of people say the health insurance costs are okay
Based on data from 39 people who took the Breakroom Quiz between March 2025 and June 2026.

Do people get paid time off at SAIC?

Most people get paid time off work.
93% of people say they get paid time off.
Based on data from 40 people who took the Breakroom Quiz between June 2025 and June 2026.

How far ahead of time do people find out their work schedule?

Most people find out their schedule less than four weeks ahead of time.
  • 23% of people with changing schedules find out their shifts one week or less ahead of time.
  • 54% of people with changing schedules find out their shifts two weeks ahead of time.
  • 15% of people with changing schedules find out their shifts three weeks ahead of time.
  • 8% of people with changing schedules find out their shifts four weeks or more ahead of time.

Based on data from 13 people who took the Breakroom Quiz between January 2025 and April 2026.

Do workers at SAIC worry about hours?

Most people don’t worry about getting enough hours.
93% of people report they don’t worry about getting enough hours.
Based on data from 42 people who took the Breakroom Quiz between November 2024 and April 2026.

Do SAIC workers get to choose the shifts they work?

Most people get to choose which shifts they work.
69% report that they have enough control over which shifts they work.
Based on data from 35 people who took the Breakroom Quiz between November 2024 and April 2026.

How easy is it for SAIC workers to change shifts?

Most people find it easy to change shifts.
70% of people report that it’s easy to change shifts if they need to.
Based on data from 23 people who took the Breakroom Quiz between December 2024 and December 2025.

How easy is it to get time off at SAIC?

Most people find it easy to get time off.
83% of people report it’s easy to get time off.
Based on data from 36 people who took the Breakroom Quiz between June 2025 and June 2026.

Do SAIC managers change schedules at the last minute?

Most managers don’t change people’s schedules at the last minute.
91% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 46 people who took the Breakroom Quiz between November 2024 and April 2026.

Do jobs at SAIC spill into time workers aren’t paid for?

Rarely. The job doesn't usually spill into unpaid time.
11% of people report that their job takes up time that they don’t get paid for.
Based on data from 46 people who took the Breakroom Quiz between November 2024 and April 2026.

How easy is it to take sick days at SAIC?

Most people find it easy to take sick days.
92% of people report that it’s easy to take time off if they are sick.
Based on data from 36 people who took the Breakroom Quiz between July 2025 and June 2026.

Is a SAIC job good for students?

Most students say this is a good place to work if you’re studying.
67% of students report this is a good place to work if you’re studying.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and May 2026.

Is working at SAIC good if you’re a parent or caregiver?

Most parents and caregivers say this is a good place to work.
86% of people who care for a child or other relative report this is a good place to work.
Based on data from 21 people who took the Breakroom Quiz between December 2024 and June 2026.

Do people at SAIC feel treated with respect by their managers?

Most people feel treated with respect by their managers.
83% of people say they’re treated with respect by their managers.
Based on data from 35 people who took the Breakroom Quiz between July 2025 and June 2026.

Do people at SAIC get to take their breaks without interruption?

Most people get breaks without interruption.
84% of people report that they get to take their breaks without interruption.
Based on data from 64 people who took the Breakroom Quiz between November 2024 and June 2026.

Is it stressful to work at SAIC?

Some people feel stressed here.
61% of people say they often feel stressed at work.
Based on data from 36 people who took the Breakroom Quiz between June 2025 and June 2026.

Do people at SAIC enjoy their jobs?

Most people enjoy their job.
88% of people report they enjoy their job.
Based on data from 33 people who took the Breakroom Quiz between June 2025 and June 2026.

Do people at SAIC recommend working with their team?

Only some people recommend working with their team.
45% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 40 people who took the Breakroom Quiz between June 2025 and June 2026.

Do people get enough training when they start at SAIC?

Most people got enough training when they started.
72% of people report they got enough training when they started working here.
Based on data from 36 people who took the Breakroom Quiz between June 2025 and June 2026.

Do people get support to advance at SAIC?

Only some people are given support to advance their career here.
In the last year, 49% of people report not being given support to advance their career here.
Based on data from 37 people who took the Breakroom Quiz between June 2025 and June 2026.

Do people think SAIC’s headquarters understands what’s happening where they work?

Most people think headquarters doesn’t understand what’s happening where they work.
85% of people think that this employer’s headquarters or owners don’t have a good understanding of what’s really happening where they work.
Based on data from 34 people who took the Breakroom Quiz between June 2025 and June 2026.

Do workers feel well informed about how SAIC is doing?

Only some people feel well informed about how the company is doing.
45% of people feel that they aren’t kept well informed about how the company is doing as a whole.
Based on data from 31 people who took the Breakroom Quiz between June 2025 and June 2026.

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

80th of 226 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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