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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Scientist - Applied AI - **Company:** Kansas City National Security Campus - **Location:** Kansas City, MO, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Big Data, Business Software, C++ (Programming Language), Databases, Continuous Delivery, Continuous Integration, Query Languages, Distributed Data Store, Python (Programming Language), Machine Learning, Natural Language Processing, Runbook, SQL Databases, Systems Architecture, User-Centered Design, Large Language Models, Apache Spark, Generative AI, Backend, Integration Tests, Low Latency, Apache Kafka, Front End Software Development, Restful APIs, Software Version Control, Data Pipelines, Programming Languages - **Published:** July 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c3b78aa648546a44 ## About the Role * At least five years relevant experience in data science or related technical activities. * BS in engineering from ABET accredited institution or Bachelor of Science degree in data science or related field, OR two additional years of relevant experience. * 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, if required for position, a U.S. Department of Energy (DOE) security clearance (some positions require additional DOE designations). We Value * Experience leading a technical team to deliver business or manufacturing focused solutions. * Ability to grasp complex technical and business problems, prioritize tasks, and devise innovative, production-ready AI solutions that align with manufacturing or enterprise objectives. * Expert-level proficiency in a modern programming language (e.g., JavaScript, Python, Java, C++) and strong command of database/query languages (e.g., SQL) for building scalable data pipelines and services. * 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. * Deep knowledge of machine-learning and deep-learning concepts, including model design, training, evaluation, and optimization for performance, latency, and * Familiarity with distributed data-processing frameworks and big-data ecosystems (e.g., Spark, Kafka) to support high-throughput training and real-time inference pipelines. * Proven ability to create actionable visualizations or dashboards that show model performance, data quality, and operational metrics for end-users and decision-makers. * Hands-on experience deploying AI applications on cloud platforms such as Azure or AWS. * Expert understanding of Large Language Models (LLMs), Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG). ## Description The Sr Data Scientist - Applied AI role leads moderately complex end-to-end design, development, operationalization, and ongoing support of advanced artificial intelligence solutions for manufacturing or business applications, ensuring models are scalable, reliable, and seamlessly integrated into frontend and backend systems., * Lead the development of AI/ML models and algorithms using disciplined software-engineering practices, including version control, automated testing, and thorough documentation. * Lead teams to design, build, and maintain production-grade pipelines for model training, validation, deployment, and monitoring, applying CI/CD and containerization principles. * Architect and expose model inference services via robust APIs, integrating them with stakeholder applications and user interfaces. * Optimize model performance for latency, throughput, and resource utilization to meet real-time manufacturing or business requirements. * Collaborate with multiple stakeholders to translate business needs into AI system specifications, define service-level objectives, and provide technical guidance to data-science partners. * Mentor and support continuous improvement of other engineers, scientists, and interns. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Technical Documentation - How Can I Write Them Better and Why Should I Care?](https://www.wearedevelopers.com/videos/681-technical-documentation-how-can-i-write-them-better-and-why-should-i-care) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Got AI ideas but no money? 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