
10,000+ employees
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Peraton is a mission-focused enterprise that supports national security initiatives through advanced IT and cyber services. They provide capabilities in areas such as cyber defense, cloud operations, engineering, and intelligence. With a commitment to solving complex challenges, Peraton integrates data-driven technologies to ensure mission success for their military and government clients.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $112k - $179k / year
⏰ Full Time
🟠 Senior
🔴 Lead
📊 Data Scientist
🦅 H1B Visa Sponsor
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10,000+ employees
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Peraton is a mission-focused enterprise that supports national security initiatives through advanced IT and cyber services. They provide capabilities in areas such as cyber defense, cloud operations, engineering, and intelligence. With a commitment to solving complex challenges, Peraton integrates data-driven technologies to ensure mission success for their military and government clients.
• Design, develop, and integrate AWS data, analytics, AI, and machine learning services into client applications and mission systems • Analyze and document client database schemas, data flows, and data architectures to identify AI/ML integration and automation opportunities • Develop analytics and reporting dashboards using Amazon QuickSight • Leverage Amazon Bedrock to develop, integrate, and deploy LLM capabilities and generative AI solutions • Design, develop, and optimize ETL/ELT data pipelines using AWS Glue and related cloud services • Implement Amazon Macie and other AWS security capabilities to identify and protect PII and sensitive data • Use Amazon SageMaker to prepare, transform, and manage data for analytics and machine learning workflows • Implement and enforce CUI handling requirements, data protection measures, and applicable security controls • Apply data engineering, software development, and cloud architecture best practices to build scalable, reliable, and maintainable solutions • Support technical activities across the program and identify opportunities for continuous improvement, automation, innovation, and operational efficiency • Assess technical risks, develop solution alternatives, and communicate architectural decisions and recommendations to program and client leadership • Collaborate with software engineers, data scientists, system architects, cybersecurity professionals, and mission stakeholders to deliver integrated solutions
• Bachelor’s degree with 8 years of relevant experience; or Master’s degree with 6 years of relevant experience; or Doctorate with 3 years of relevant experience; or 12 years of relevant experience in lieu of a degree • Ability to obtain and maintain a DoD Secret security clearance • U.S. citizenship required to obtain a security clearance • Degree or professional experience in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related technical field • Hands-on experience designing and implementing scalable cloud-based data platforms and solutions • Experience with AWS cloud services, particularly data, analytics, AI, and machine learning services • Programming experience with Python, SQL, Rust, or TypeScript • Experience with database schema design, data modeling, and software engineering best practices • Ability to independently learn new technologies, troubleshoot complex technical issues, and develop effective solutions • Strong analytical, problem-solving, technical documentation, and communication skills • Preferred: Experience with Amazon Bedrock, SageMaker, Glue, QuickSight, and Macie • Preferred: Experience developing or integrating generative AI and LLM-based applications • Preferred: Experience working with DoD, federal, or other highly regulated environments • Preferred: Familiarity with CUI, NIST, RMF, and cloud security requirements • Preferred: Experience designing secure, highly available, and scalable AWS architectures • Preferred: AWS certifications such as AI Practitioner, Solutions Architect, Developer, Data Engineer, Machine Learning, or Generative AI Developer
• Potential eligibility for overtime • Potential eligibility for shift differential • Potential eligibility for a discretionary bonus
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