Data Scientist Principal

General Dynamics IT
United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Big Data Cloud Computing Information Engineering Extract Transform Load (ETL) Python (Programming Language) Machine Learning NumPy Tensorflow Pytorch Large Language Models
+5 more
Pandas Scikit Learn Information Technology Data Analytics Data Pipelines

Job description

Build the AI/ML solutions that help our clients turn data into action as a Data Scientist Principal at GDIT. Your work will deliver transformative solutions to our clients’ big data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career. At GDIT, people are our differentiator. GDIT Technology Shared Services (TSS) is seeking a Data Scientist Principal to transform how government agencies use data. Our work depends on a hands-on data scientist joining our team to design and implement artificial intelligence solutions supporting the Centers for Medicare & Medicaid Services (CMS) Hosting, Operations & Maintenance (HOM) program. HOW THE DATA SCIENTIST PRINCIPAL WILL MAKE AN IMPACT:Accelerate our work by integrating advanced AI capabilities across our suiteAccelerate the use of and evaluate the efficacy of AI coding tools across the teamImplement both custom-built and vendor/COTS AI solutions, hands-on, from prototype

Requirements

through productionDesign and implement AI solutions for automated program accomplishment tracking and reporting, including intelligent classification systems and proactive knowledge managementImplement generative AI (GenAI) with large language models (LLMs) and retrieval augmented generation (RAG) to deliver precise, data-driven responsesBuild an agentic framework enabling service ticket management, account administration, and intelligent journey orchestration WHAT YOU’LL NEED TO SUCCEED:Education: Master’s Degree in Computer Science, Data Science, Statistics, or related field (or equivalent experience)Experience: 8+ years of experience as a data scientist with a proven track record of deploying AI/ML production solutions requiredStrong AI/ML coding ability, with the capability to implement both custom and vendor-based solutions independently and use of AI coding toolsExperience with generative AI (GenAI) using large language models (LLMs)Strong foundation in machine learning, statistical analysis, and experimental design with both quantitative and qualitative dataExpertise in AI/ML cloud technologies (preferably on AWS, including Bedrock, Lambda, and SageMaker)Experienced with Python data science stack (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow) and SQLExperience integrating AI solutions with legacy enterprise systems and orchestration platformsExperience in establishing and scaling AI/ML programs, developing roadmaps, and increasing user/tool adoptionFamiliarity with data engineering, ETL processes, data pipelines, and APIsStrong communication skills with the ability to translate technical concepts to stakeholders and leadershipAbility to supervise and mentor other AI/ML Data Scientists Security Clearance Level: Must be able to pass a background check to obtain a position of Public Trust Location: Remote GDIT IS YOUR PLACEAt GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth: AI-powered career tool that identifies

Benefits & conditions

career steps and learning opportunities Support: An internal mobility team focused on helping you achieve your career goals Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off Flexibility: Full-flex work week to own your priorities at work and at home Community: Award-winning culture of innovation and a military-friendly workplaceOWN YOUR OPPORTUNITYExplore a career in data science and engineering at GDIT and youll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges. #GDITLA

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