Principal Data Scientist AI ML Job Listing at SAIC in REMOTE WORK, VA (Job ID 2510026)

Description

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.

 Apply on company website