Type of Requisition:
Pipeline

Clearance Level Must Currently Possess:
None

Clearance Level Must Be Able to Obtain:
Top Secret

Public Trust/Other Required:
None

Job Family:
Data Science and Data Engineering

Job Qualifications:

Skills:
AI Systems, Big Data, Datasets
Certifications:
None
Experience:
2 + years of related experience
US Citizenship Required:
No

Job Description:

Own your opportunity to turn data into measurable outcomes for our customers' most complex challenges. As an AI Data Scientist at GDIT, you'll power innovation to drive mission impact and grow your expertise to power your career forward.

MEANINGFUL WORK AND PERSONAL IMPACT
As an AI Data Scientist, the work you'll do at GDIT will be impactful to the mission of our customers. You will play a crucial role in the following:
• Serve as the technical and strategic backbone of our AI-powered customer engagement and analytics ecosystem.
• Design, build, and maintain advanced RAG and LLM-driven capabilities that power our virtual agents and knowledge systems, while also delivering polished, user-centric dashboards and analytics products that drive decisions across the business.
• Architect scalable data pipelines, develop intuitive front-end experiences using Next.js, and integrate complex authentication and AI workflows with minimal oversight.
• Translate intricate technical and analytical insights into clear, compelling presentations for leadership, collaborate closely with business partners to understand needs, and deliver end-to-end solutions that are both innovative and production-ready.
• Combine AI systems expertise with engineering fundamentals, excellent storytelling skills, and a passion for building high-impact, future-ready tools.

WHAT YOU'LL NEED TO SUCCEED
Bring your expertise and drive for innovation to GDIT. The AI Data Scientist must have:

• Education: Bachelor of Science

• Experience:

• 2+ years of related experience
• 5+ years of related experience at Senior level

• Required Skills:

• Experience in Retrieval-Augmented Generation (RAG) design, optimization, and troubleshooting, including embeddings, vector databases, chunking strategies, and retrieval tuning.
• Applied experience with LLM integration, prompt engineering, function calling, and building or enhancing conversational AI interfaces or custom AI agents.
• Ability to design, build, and maintain advanced analytics dashboards (Power BI, Tableau, Looker, or similar) with strong grounding in BI best practices, data modeling, and data quality.
• Experience developing scalable front-end applications using Next.js and modern JavaScript frameworks, with strong UI/UX sensibilities for data products.
• Ability to architect and maintain data pipelines, ingestion workflows, and analytics platforms, including parsing complex content (HTML, PDFs, embedded images) for search or RAG use.
• Proven ability to build AI-powered analytics features, automated insights, and conversational interfaces for business intelligence applications.
• Experience designing, implementing, and evolving AI/LLM metrics, telemetry, and performance reporting frameworks.
• Ability to translate complex technical or analytical work into clear stories, compelling presentations, and demos for senior leadership and cross-functional teams.
• Experienced at partnering with business units to understand needs and deliver high-impact, user-centric data and AI products.
• Capable of owning full life-cycle development-from ideation and prototyping through deployment, iteration, and long-term maintenance-with minimal oversight.
• Backend or full-stack engineering foundation with experience building APIs, microservices, cloud-based deployments, and observability/debugging workflows.
• Familiarity with vector stores (Pinecone, Chroma, Weaviate, Azure Cognitive Search), LLM model behavior, and RAG workflow integration.
• Demonstrated autonomy, innovative thinking, and ability to deliver high-quality, production-ready systems quickly.
• Familiarity integrating authentication systems (OAuth2, OIDC, SAML) and connecting to third-party identity providers such as ID.me or Clear.

• Security Clearance Level: Must be able to obtain and maintain up to a Top Secret clearance

• US Citizenship Required

• Location: State of Louisiana

• Candidates who reside within the state of Louisiana and are within 60 miles of GDIT's Integrated Technology Center in Bossier City, LA will follow a hybrid work model
• Candidates who reside within the state of Louisiana and are more than 60 miles from GDIT's Integrated Technology Center in Bossier City, LA will follow a remote work model

OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

The likely salary range for this position is $75,650 - $102,350. 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:
Less than 10%

Telecommuting Options:
Hybrid

Work Location:
USA LA Bossier City

Additional Work Locations:
USA LA Home Office (LAHOME)

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. 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.

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