AI and Data Science Engineer II (TS/SCI Poly)

Deloitte•McLean, VA

134d•$102,500 - $170,900•Onsite

About The Position

Our Deloitte AI & Engineering team transforms technology platforms, drives innovation, and helps make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Drive the design, development, and deployment of AI and data science solutions that help government and public sector clients modernize operations, improve decision-making, and deliver mission outcomes. In this role, you will work across data, analytics, and machine learning initiatives to translate business needs into scalable technical solutions. You will collaborate with cross-functional teams to build production-ready models, data pipelines, and analytical products that support client priorities.

Requirements

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
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
Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Active TS/SCI Polygraph security clearance required
1+ years of experience developing and deploying machine learning, artificial intelligence, or advanced analytics solutions
1+ years of experience using Python and Structured Query Language (SQL) for data analysis, model development, or data engineering
1+ years of experience working with cloud platforms, data pipelines, or model deployment environments
Experience using machine learning frameworks or libraries such as scikit-learn, TensorFlow, or PyTorch
Ability to travel 10–20%, on average, based on the work you do and the clients and industries/sectors you serve

Nice To Haves

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

Responsibilities

Designing, developing, and deploying machine learning, artificial intelligence, and advanced analytics solutions for government and public sector clients
Building, testing, and maintaining data pipelines, models, and analytical workflows that support scalable and reliable delivery
Translating business and mission requirements into technical designs, prototypes, and production-ready solutions
Collaborating with engineers, data scientists, product teams, and client stakeholders to implement data-driven capabilities
Supporting solution optimization, model performance monitoring, documentation, and continuous improvement activities