Principal Data Scientist AI ML at SAIC

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Full Time

Start Date

Immediate

Expiry Date

19 Dec, 25

Salary

0.0

Posted On

20 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Modeling, AI, ML, NLP, Cybersecurity, Cloud Native, Predictive Models, Machine Learning Algorithms, Statistical Analyses, Exploratory Data Analysis, Data Engineering, Human Centered Design, Agile, Innovation, Prototyping

Industry

Defense and Space Manufacturing

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. 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.

Responsibilities

The Principal Data Scientist will develop prototypes of emerging technologies such as AI, ML, and NLP to solve business problems. They will collaborate with cross-functional teams to translate requirements into data-driven solutions and support innovation initiatives.