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SAIC · 3 weeks ago

Data Scientist AI Engineer

United States

Full-time

Remote

Mid, Senior Level

$80K/yr - $120K/yr

7+ years exp

SAIC is seeking an innovative, hands-on development oriented, AI Engineer / 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.

Information TechnologySecurityService IndustrySoftware

Work & Life Balance

No H1B

Security Clearance Required

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

We need a resource that understands modern AI Large Language Models (LLM’s) and their inner workings / architectures / backbone and head

We need a resource experienced in prompt engineering and Retrieval-Augmented Generation (RAG)

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

Qualification

AI/ML/NLPCloud engineeringData modelingPrompt engineeringLarge Language ModelsPredictive modelsStatistical analysesExploratory data analysisAgile methodologiesData-driven solutionsMentoringCollaboration

Required

BA/BS degree and 7 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

US Citizenship not required, but must have lived in the US for at least two consecutive years

Must be able to obtain a Public Trust

Eight years' experience in AI/ML/NLP and data modeling

Cloud engineering experience to ensure integration of the AI/ML/NLP solutions in cloud native environments

Understanding of modern AI Large Language Models (LLM's) and their inner workings / architectures / backbone and head

Experience in prompt engineering and Retrieval-Augmented Generation (RAG)

Ability to implement transparency, traceability, and appropriate security handling in line with best practices and applicable compliance standards including Authorization To Operate (ATO) certifications

Experience in implementing predictive models, machine learning algorithms, and statistical analyses to solve complex business problems

Ability to 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

Experience collaborating with cross-functional teams including data engineering, product, and business stakeholders to translate requirements into data-driven solutions

Experience conducting exploratory data analysis and generating actionable insights from large and complex datasets

Experience supporting total experience initiatives including customer experience, user experience and human centered design through focus groups, metrics, wireframes, mockups, and information architecture development

Ability to develop reusable code libraries and best practices for modernization and innovation development and deployment

Experience mentoring more junior data scientists and guiding the team in adopting the new technologies and techniques

Ability to stay current with advancements in data science, machine learning, AI research and cloud architectures

Experience supporting Agile product teams in integrating and operationalizing emerging technologies and data strategies

Ability to analyze data and usage to find patterns and solutions to business challenges