Overview
On Site
Full Time
Skills
Decision-making
Management
Customer Relationship Management (CRM)
Operational Excellence
Continuous Improvement
Research
Deep Learning
Computer Vision
Natural Language Processing
Time Series
GPU
Workflow
Collaboration
Analytical Skill
Data Collection
Data Cleansing
Data Storage
Analytics
Computer Science
TensorFlow
PyTorch
Keras
Programming Languages
Python
R
Data Science
DoD
Security Clearance
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Microsoft Azure
COTS
Artificial Intelligence
Machine Learning (ML)
Data Engineering
SAP BASIS
Information Technology
Systems Engineering
FOCUS
Job Details
Job ID: 2505748
Location: ARLINGTON, VA, US
Date Posted: 2025-05-16
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: Secret
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
A trusted leader in cloud, digital engineering, data, and Artificial Intelligence, the nation looks to SAIC to integrate emerging technology to modernize critical missions and enable its national imperatives. To address the growing demands within the Department of Defense, SAIC is seeking highly skilled and dynamic AI/ML Engineers at various levels to support data and AI products for Data and AI Infrastructure Management for our Digital and AI Team. We are embarking on a large initiative to lead the design and operate integrated Enterprise IT solutions
that deliver AI-enabled capabilities and enable data-driven decision making to missions across the Department, Services, and Combatant Commands.
The ideal candidates will be adept at managing customer relationships, driving operational excellence, and fostering continuous improvement across all service areas.
Core Responsibilities
Develop, research, and apply analytic models, including machine learning and deep learning, to datasets in various domains, such as computer vision, natural language processing, or time series analysis.
Work with GPU compute utilizing leading libraries such as TensorFlow, Keras, and PyTorch.
Apply data engineering concepts to support AI and machine learning workflows.
Collaborate in cross-functional teams with data at all stages of the analysis lifecycle to derive actionable insights.
Translate mission needs into an end-to-end analytical approach to achieve results.
Perform pre-analytics tasks including data collection and understanding, data cleansing and integration, and data storage and retrieval.
Determine the appropriate analytics based on the data and the desired outcomes.
Interpret the validity of results and communicate their meaning.
Follow a scientific approach to generate value from data, verifying results at each step.
Qualifications
Preferred:
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
Location: ARLINGTON, VA, US
Date Posted: 2025-05-16
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: Secret
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
A trusted leader in cloud, digital engineering, data, and Artificial Intelligence, the nation looks to SAIC to integrate emerging technology to modernize critical missions and enable its national imperatives. To address the growing demands within the Department of Defense, SAIC is seeking highly skilled and dynamic AI/ML Engineers at various levels to support data and AI products for Data and AI Infrastructure Management for our Digital and AI Team. We are embarking on a large initiative to lead the design and operate integrated Enterprise IT solutions
that deliver AI-enabled capabilities and enable data-driven decision making to missions across the Department, Services, and Combatant Commands.
The ideal candidates will be adept at managing customer relationships, driving operational excellence, and fostering continuous improvement across all service areas.
Core Responsibilities
Develop, research, and apply analytic models, including machine learning and deep learning, to datasets in various domains, such as computer vision, natural language processing, or time series analysis.
Work with GPU compute utilizing leading libraries such as TensorFlow, Keras, and PyTorch.
Apply data engineering concepts to support AI and machine learning workflows.
Collaborate in cross-functional teams with data at all stages of the analysis lifecycle to derive actionable insights.
Translate mission needs into an end-to-end analytical approach to achieve results.
Perform pre-analytics tasks including data collection and understanding, data cleansing and integration, and data storage and retrieval.
Determine the appropriate analytics based on the data and the desired outcomes.
Interpret the validity of results and communicate their meaning.
Follow a scientific approach to generate value from data, verifying results at each step.
Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field & 2+ years of experience in AI, machine learning, or data science.
- Basic understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Experience with programming languages such as Python or R.
- Foundational knowledge in AI, data science, and IT.
- Must have active DoD Secret Clearance
Preferred:
- Certifications in cloud platforms (e.g., AWS, Google Cloud, Azure).
- Exposure to COTS AI/ML platforms and tools.
- Basic understanding of data engineering concepts.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.