AI and Data Science Engineer (TS/SCI Poly)

Job Summary

The Deloitte AI & Engineering team transforms technology platforms, drives innovation, and makes a significant impact on clients' success. We work alongside talented professionals reimagining and reengineering operations and processes critical to businesses.

Responsibilities

• Design, develop, and deploy machine learning, artificial intelligence, and advanced analytics solutions for government and public sector clients
• Build, test, and maintain data pipelines, models, and analytical workflows that support scalable and reliable delivery
• Translate business and mission requirements into technical designs, prototypes, and production-ready solutions
• Collaborate with engineers, data scientists, product teams, and client stakeholders to implement data-driven capabilities
• Support solution optimization, model performance monitoring, documentation, and continuous improvement activities

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field
• Active TS/SCI Polygraph security clearance required
• 4+ years of experience developing and deploying machine learning, artificial intelligence, or advanced analytics solutions
• 3+ years of experience using Python and Structured Query Language (SQL) for data analysis, model development, or data engineering
• 2+ years of experience working with cloud platforms, data pipelines, or model deployment environments
• Ability to work independently and collaborate as part of a team
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

Preferred Qualifications

• Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field
• Experience supporting federal, state, or local government clients
• Experience with Extract, Transform, Load (ETL) processes, application programming interfaces (APIs), or data integration tools
• Experience with model monitoring, MLOps, or production support processes
• Experience using Git, CI/CD pipelines, or containerization tools
• Experience creating dashboards, reporting solutions, or analytical products for business users