AI and Data Science Engineer (TS/SCI Poly)

Deloitte T.T.L.
McLean, VA, United States
9 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$131,000.0 - $218,300.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis Information Engineering Data Integration Extract Transform Load (ETL) Monitoring of Systems Python (Programming Language) Machine Learning Tensorflow SQL Databases Pytorch
+8 more
Git Containerization Scikit Learn Information Technology Data Analytics Machine Learning Operations Tools for Reporting Data Pipelines

Job description

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help 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.

Work you’ll do

As an AI and Data Science Engineer III on the Government and Public Services AI & Data team, you will be responsible for…

  • 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

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, Required:
  • 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
  • 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
  • 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.

Preferred:

  • 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

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $131,000 to $218,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

About the company

Deloitte’s Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

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