Principal Data Scientist AI ML

  • REMOTE WORK, VA
  • Posted 1 day ago | Updated 6 hours ago

Overview

Remote
On Site
USD 160,001.00 - 200,000.00 per year
Full Time

Skills

Security Clearance
Modeling
Ideation
Cyber Security
Prototyping
Regulatory Compliance
Authorization
Algorithms
Statistics
Collaboration
Data Engineering
Customer Experience
User Experience
Focus Groups
Wireframe
Mockups
Information Architecture
Innovation
Data Science
Research
Agile
Emerging Technologies
Data Analysis
Data Modeling
Machine Learning (ML)
Natural Language Processing
Artificial Intelligence
Cloud Computing
Amazon Web Services
Microsoft Azure
Information Technology
Systems Engineering
FOCUS

Job Details

Job ID: 2510026

Location: REMOTE WORK, VA, US

Date Posted: 2025-09-19

Category: Information Technology

Subcategory: Data Scientist

Schedule: Full-time

Shift: Day Job

Travel: No

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Public Trust

Potential for Remote Work: Yes

Description

SAIC is seeking an innovative, hands-on development oriented, data scientist with eight years' experience in data analytics and modeling to develop prototypes of emerging technologies (AI/ML/NLP) that solve business problems. This resource will join an energetic and versatile team responsible for addressing the customer challenges through the use of advancing technologies. This is a remote job that can be worked from any location in the continental U.S.
  • Operate and maintain an innovation lab for the ideation, design, and engineering of cloud native product modernization and innovation using emerging technologies.
  • Develop plans for AI/ML/NLP innovations that are compliant with cybersecurity policies.
  • Develop and engineer pilots, prototypes, and proof of concept solutions to validate emerging technology, modernization, and innovation opportunities.
  • Implement transparency, traceability, and appropriate security handling in line with best practices and applicable compliance standards including Authorization to Operate certifications.
  • Implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems.
  • Collaborate with cross-functional teams including data engineering, product, and business stakeholders to translate requirements into data-driven solutions.
  • Conduct exploratory data analysis and generate actionable insights from large and complex datasets.
  • Support total experience initiatives including customer experience, user experience and human centered design through focus groups, metrics, wireframes, mockups, and information architecture development.
  • Develop reusable code libraries and best practices for modernization and innovation development and deployment.
  • Stay current with advancements in data science, machine learning, and AI research.
  • Support Agile product teams in emerging technologies and data strategies.
  • Analyze data and usage to find patterns and solutions to business challenges.

Qualifications

Requirements:
  • Master's degree and 9 years or more of experience in data analytics, data modeling, Frontier models, machine learning, natural language processing, security, and artificial intelligence technologies in cloud native environments (AWS, Azure, Google).
  • 8 years relevant experience required.
  • Must be able to obtain a Public Trust.

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.


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