Principal Data Scientist

🔥 17 hours ago

🇺🇸 United States – Remote

💵 $144.5k - $195.5k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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General Dynamics Information Technology

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1954

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.

📋 Description

• Integrate advanced AI capabilities across GDIT's technology suite • Accelerate and evaluate the efficacy of AI coding tools across the team • Implement custom-built and vendor/COTS AI solutions hands-on from prototype through production • Design and implement AI solutions for automated program accomplishment tracking and reporting • Develop intelligent classification systems and proactive knowledge management • Implement generative AI with LLMs and RAG to deliver precise, data-driven responses • Build an agentic framework for service ticket management, account administration, and intelligent journey orchestration • Support CMS Hosting, Operations & Maintenance program objectives • Supervise and mentor other AI/ML Data Scientists • Travel less than 10%

🎯 Requirements

• Master's Degree in Computer Science, Data Science, Statistics, or related field (or equivalent experience) • 8+ years of experience as a data scientist • Proven track record of deploying AI/ML production solutions • Strong AI/ML coding ability and ability to independently implement custom and vendor-based solutions • Experience using AI coding tools • Experience with generative AI (GenAI), large language models (LLMs), and retrieval augmented generation (RAG) • Strong foundation in machine learning, statistical analysis, and experimental design with quantitative and qualitative data • Expertise in AI/ML cloud technologies, preferably AWS, including Bedrock, Lambda, and SageMaker • Experience with Python data science stack, including Pandas, NumPy, scikit-learn, and PyTorch/TensorFlow • SQL experience • Experience integrating AI solutions with legacy enterprise systems and orchestration platforms • Experience establishing and scaling AI/ML programs, developing roadmaps, and increasing user/tool adoption • Familiarity with data engineering, ETL processes, data pipelines, and APIs • Ability to translate technical concepts to stakeholders and leadership • Ability to supervise and mentor other AI/ML Data Scientists • Must be able to pass a background check to obtain a position of Public Trust • US citizenship is not required

🏖️ Benefits

• Comprehensive medical plan options, including plans with Health Savings Accounts • Dental plan options • Vision plan options • 401(k) plan with pre- and post-tax contribution options and company match • Full-flex work weeks where possible • Paid vacation, sick, personal time, holidays, parental, military, bereavement, and jury duty leave • Typically 15 days of paid leave per calendar year for new employees • 10 paid holidays per year • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees • Short- and long-term disability benefits • Life insurance • Accidental death and dismemberment insurance • Personal accident insurance • Critical illness insurance • Business travel and accident insurance • AI-powered career tool identifying career steps and learning opportunities • Internal mobility team supporting career goals • Growth and professional development opportunities • Award-winning culture of innovation and military-friendly workplace