Data Scientist I - Applied AI

Kansas City National Security Campus•Kansas City, MO

17h•Hybrid

About The Position

The Data Scientist I - Applied AI position contributes to the end-to-end design, development, operationalization, and on-going support of advanced artificial intelligence solutions for manufacturing and business applications.

Requirements

BS in engineering from ABET accredited institution or Bachelor of Science degree in data science or related field, or two years of relevant experience in lieu of a degree.
Ability to travel as determined by the needs of the business
Ability to work remote, hybrid, or on-site as directed by management and is determined by the needs of the business
Regular and reliable attendance is an essential function of this job
United States Citizenship
Ability to obtain and maintain a U.S. Department of Energy (DOE) security clearance (some positions require additional DOE designations)

Nice To Haves

Demonstrated software‑engineering discipline: version control, unit/integration testing, continuous integration‑continuous deployment (CI/CD), and documentation of code and system architecture.
Strong communication skills (verbal, written, presentation) to convey technical concepts to stakeholders, collaborate with cross‑functional teams, and produce clear technical specifications and run‑books.
Proven ability to create actionable visualizations and dashboards that show model performance, data quality, and operational metrics for end‑users and decision‑makers.
Solid understanding of Large Language Models (LLMs), Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG).

Responsibilities

Develop data science models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control and maintaining documentation of created applications.
Contribute to AI/ML models and algorithms using disciplined software‑engineering practices, including version control, automated testing, and thorough documentation.
Support design, build, and maintenance of production‑grade pipelines for model training, validation, deployment, and monitoring, applying CI/CD and containerization principles.
Collaborate with multiple stakeholders to translate business needs into AI system specifications, define service‑level objectives, and provide technical guidance to data‑science partners.
Support the ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows.
Contribute to the production of information products, supporting visualization and data accessibility in a customer centric manner.
Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety.
May assist in development of guidelines and standards for analytics and machine learning models, their deployment, and associated governance processes.
Complete assignments with detailed instructions in the design and/or project management of new and current projects under technical guidance of higher level engineers or departmental management.
Conducts activities in a safe and healthy manner and works in accordance with established HS&E requirements to ensure the protection of employees, the public, and the environment.
Takes actions necessary to 'stop' work when an unsafe condition or action is identified. Every employee has the right and responsibility to stop work when unsafe conditions or actions are identified.