Data Science Advisor

This is a fully remote position, open to applicants in United States.

📋 Description

• Create, develop, and integrate AWS data, analytics, AI, and machine learning services into client applications and mission systems.

• Evaluate and document client database schemas, data flows, and data architectures to discover AI/ML integration and automation possibilities.

• Construct analytics and reporting dashboards utilizing Amazon QuickSight.

• Utilize Amazon Bedrock to develop, integrate, and deploy LLM capabilities and generative AI solutions.

• Design, develop, and enhance ETL/ELT data pipelines using AWS Glue and associated cloud services.

• Implement Amazon Macie and other AWS security features to identify and safeguard PII and sensitive data.

• Employ Amazon SageMaker to prepare, transform, and manage data for analytics and machine learning workflows.

• Enforce CUI handling requirements, data protection measures, and relevant security controls.

• Apply best practices in data engineering, software development, and cloud architecture to build scalable, reliable, and maintainable solutions.

• Assist with technical activities throughout the program and identify opportunities for continuous improvement, automation, innovation, and operational efficiency.

• Evaluate technical risks, create solution alternatives, and convey architectural decisions and recommendations to program and client leadership.

• Collaborate with software engineers, data scientists, system architects, cybersecurity experts, and mission stakeholders to deliver integrated solutions.

⛳️ Requirements

• Bachelor’s degree with 8 years of pertinent experience; or a Master’s degree with 6 years of relevant experience; or a Doctorate with 3 years of relevant experience; or 12 years of relevant experience in lieu of a degree.

• Capability to obtain and maintain a DoD Secret security clearance.

• U.S. citizenship is required to secure a security clearance.

• Degree or professional experience in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related technical field.

• Practical experience in designing and implementing scalable cloud-based data platforms and solutions.

• Familiarity with AWS cloud services, especially data, analytics, AI, and machine learning services.

• Programming skills in Python, SQL, Rust, or TypeScript.

• Experience with database schema design, data modeling, and software engineering best practices.

• Ability to self-learn new technologies, troubleshoot complex technical challenges, and develop effective solutions.

• Strong analytical, problem-solving, technical documentation, and communication abilities.

• Preferred: Experience with Amazon Bedrock, SageMaker, Glue, QuickSight, and Macie.

• Preferred: Experience in developing or integrating generative AI and LLM-based applications.

• Preferred: Experience working with DoD, federal, or other highly regulated environments.

• Preferred: Knowledge of CUI, NIST, RMF, and cloud security regulations.

• 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.

🏝️ Benefits

• Potential eligibility for overtime.

• Potential eligibility for shift differential.

• Potential eligibility for a discretionary bonus.