AI Data Scientist

GD Information Technology • Bossier City, TX

2d • Hybrid

About The Position

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.

Requirements

• Bachelor of Science
• 2+ years of related experience
• 5+ years of related experience at Senior level
• 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.
• Ability to translate complex technical or analytical work into clear stories, compelling presentations, and demos for senior leadership and cross‑functional teams.
• Demonstrated autonomy, innovative thinking, and ability to deliver high‑quality, production‑ready systems quickly.

Nice To Haves

• Familiarity with vector stores (Pinecone, Chroma, Weaviate, Azure Cognitive Search), LLM model behavior, and RAG workflow integration.
• Backend or full-stack engineering foundation

Responsibilities

• 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.
• Design, implement, and evolve AI/LLM metrics, telemetry, and performance reporting frameworks.
• Partner with business units to understand needs and deliver high‑impact, user‑centric data and AI products.
• Own full life‑cycle development—from ideation and prototyping through deployment, iteration, and long‑term maintenance—with minimal oversight.
• Build APIs, microservices, cloud‑based deployments, and observability/debugging workflows.
• Integrate authentication systems (OAuth2, OIDC, SAML) and connect to third‑party identity providers such as ID.me or Clear.

Benefits

• Comprehensive benefits and wellness packages
• 401K with company match
• Competitive pay
• Paid time off
• Variety of medical plan options, some with Health Savings Accounts
• Dental plan options
• Vision plan
• 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.
• Full flex work weeks
• Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level