Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

NACI (T1)

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Artificial Intelligence (AI), Machine Learning Methods, Python (Programming Language), Scientific Data Analysis

Certifications:

None

Experience:

8 + years of related experience

US Citizenship Required:

No

Job Description:

Build the AI/ML solutions that help our clients turn data into action as aData Scientist Principalat GDIT. Your work will deliver transformative solutions to our clients' big data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients' mission and on your career.

GDIT is seeking aData Scientist Principalto transform how government agencies use data. Our work depends on a hands-on data scientist joining our team to design and implement artificial intelligence solutions supporting the Centers for Medicare & Medicaid Services (CMS) Hosting, Operations & Maintenance (HOM) program.

HOW THE DATA SCIENTIST PRINCIPAL WILL MAKE AN IMPACT:

• Accelerate our work by integrating advanced AI capabilities across our suite
• Accelerate the use of and evaluate the efficacy of AI coding tools across the team
• Implement both custom-built and vendor/COTS AI solutions, hands-on, from prototype through production
• Design and implement AI solutions for automated program accomplishment tracking and reporting, including intelligent classification systems and proactive knowledge management
• Implement generative AI (GenAI) with large language models (LLMs) and retrieval augmented generation (RAG) to deliver precise, data-driven responses
• Build an agentic framework enabling service ticket management, account administration, and intelligent journey orchestration

WHAT YOU'LL NEED TO SUCCEED:

• Education:Master's Degree in Computer Science, Data Science, Statistics, or related field (or equivalent experience)
• Experience:8+ years of experience as a data scientist with a proven track record of deploying AI/ML production solutionsrequired
• Strong AI/ML coding ability, with the capability to implement both custom and vendor-based solutions independently and use of AI coding tools
• Experience with generative AI (GenAI) using large language models (LLMs)
• Strong foundation in machine learning, statistical analysis, and experimental design with both quantitative and qualitative data
• Expertise in AI/ML cloud technologies (preferably on AWS, including Bedrock, Lambda, and SageMaker)
• Experienced with Python data science stack (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow) and SQL
• Experience integrating AI solutions with legacy enterprise systems and orchestration platforms
• Experience in establishing and scaling AI/ML programs, developing roadmaps, and increasing user/tool adoption
• Familiarity with data engineering, ETL processes, data pipelines, and APIs
• Strong communication skills with the ability to translate technical concepts to stakeholders and leadership
• Ability to supervise and mentor other AI/ML Data Scientists

LOCATION:Remote

CLEARANCE:

Ability to obtain a Public Trust: candidate must have lived in the United States at least three (3) out of the last five (5) years and pass a public trust background investigation.

The likely salary range for this position is $122,400 - $165,600. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employees date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.