Overview
Remote
On Site
USD 120,001.00 - 160,000.00 per year
Full Time
Skills
Security Clearance
Ideation
Cyber Security
Prototyping
Regulatory Compliance
Authorization
Algorithms
Statistics
Demonstrations
Data Architecture
Collaboration
Data Engineering
Customer Experience
User Experience
Focus Groups
Wireframe
Mockups
Information Architecture
Innovation
Mentorship
Data Science
Research
Agile
Emerging Technologies
Mergers and Acquisitions
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: 2511179
Location: REMOTE WORK, VA, US
Date Posted: 2025-10-29
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 AI/ML/NLP and data modeling to develop prototypes of emerging technologies that solve business problems. The candidate must have cloud engineering experience to ensure integration of the AI/ML/NLP solutions in cloud native environments. 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.
Responsibilities:
Operate and maintain an innovation lab for the ideation, design, and engineering of cloud native product modernization and innovation using emerging technologies.
Develop end-to-end plans for cloud native 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 (ATO) certifications.
Implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems.
Develop low risk implementation plans and present business briefings, recommendations, and demonstrations to executives and technical stakeholders in a clear manner based on data architecture best practices
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.
Mentor more junior data scientists and guide the team in adopting the new technologies and techniques.
Stay current with advancements in data science, machine learning, AI research and cloud architectures.
Support Agile product teams in integrating and operationalizing emerging technologies and data strategies.
Analyze data and usage to find patterns and solutions to business challenges.
Qualifications
Qualifications:
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Location: REMOTE WORK, VA, US
Date Posted: 2025-10-29
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 AI/ML/NLP and data modeling to develop prototypes of emerging technologies that solve business problems. The candidate must have cloud engineering experience to ensure integration of the AI/ML/NLP solutions in cloud native environments. 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.
Responsibilities:
Operate and maintain an innovation lab for the ideation, design, and engineering of cloud native product modernization and innovation using emerging technologies.
Develop end-to-end plans for cloud native 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 (ATO) certifications.
Implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems.
Develop low risk implementation plans and present business briefings, recommendations, and demonstrations to executives and technical stakeholders in a clear manner based on data architecture best practices
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.
Mentor more junior data scientists and guide the team in adopting the new technologies and techniques.
Stay current with advancements in data science, machine learning, AI research and cloud architectures.
Support Agile product teams in integrating and operationalizing emerging technologies and data strategies.
Analyze data and usage to find patterns and solutions to business challenges.
Qualifications
Qualifications:
- MA/MS degree and 8 years or more of experience in data analytics, data modeling, machine learning, natural language processing, security, and artificial intelligence technologies in cloud native environments (AWS, Azure, Google). Additional experience may be substituted for educational requirements where appropriate.
- ship not required, but must have lived in the US for at least two consecutive years
- Must be able to obtain a Public Trust
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
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.