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# Artificial Intelligence and Data Science Scientist (Scientist 1)

- **Company:** Los Alamos National Laboratory
- **Location:** Los Alamos, NM, United States
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, Unit Testing, Big Data, C++ (Programming Language), Cloud Computing, Cloud Engineering, Code Generation, Collaborative Software, Computer Programming, Continuous Integration, Data as a Services, Database Schema, Distributed Data Store, Distributed Systems, R (Programming Language), Graph Database, Information Extraction, Python (Programming Language), Machine Learning, Natural Language Processing, Open Source Technology, Cloud Services, Scala (Programming Language), Software Engineering, SQL Databases, TypeScript, Data Processing, Retrieval-Augmented Generation, Large Language Models, Claude Code, Apache Spark, Julia, AI Coding Agents, Agentic-AI, Containerization, Data Lakes, Git Flow, Kubernetes, Information Technology, Machine Learning Operations, Front End Software Development, Data Lakehouse, Api Design, Software Version Control, Data Pipelines, Devsecops, Databricks
- **Published:** November 6, 2026
- **Apply:** https://www.nexxt.com/job.asp?id=3499590841&tx=KP7575FFQ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Experience in Python Programming
 * Demonstrated experience working in collaborative software development environments, including Git-based workflows, automated unit and integration testing, and building or maintaining CI/CD pipelines.
 * Experience working with data processing, analysis, and/or machine learning workflows
 * Ability to collaborate effectively in multidisciplinary scientific teams
 * Strong commitment to continuous learning with demonstrated self-motivation and ability to work independently.
 * Ability to articulate concepts through various oral and written communication media, using a diverse range of technical and business acumen.
 * Ability to obtain a DOE Q and SCI security clearances, which generally requires U.S. citizenship.

Education/Experience: Position requires a bachelor's degree in a STEM field from an accredited college or university and 2 years of related experience, or an equivalent combination of education and experience directly related to the occupation., * Experience with data lakehouse or distributed data platforms such as Databricks, Spark, Delta Lake, or related technologies.

 * Programming experience in multiple languages (e.g., SQL, Scala, Java, C/C++, R, Julia, Javascript, and/or Typescript), in addition to the minimum required programming experience.
 * Experience with cloud infrastructure, Kubernetes, AWS, etc.
 * Experience developing APIs and data schemas for software communication.
 * Experience in one or more of the following areas: natural language processing, information extraction, large language models, agentic AI workflows, or related AI/ML technologies.
 * Experience using AI-assisted software development tools (e.g., Claude Code, Codex, OpenCode or other open-source coding assistants), including responsibly reviewing, testing, and validating AI-generated code.
 * Experience with graph databases, vector databases, retrieval systems, and/or retrieval-augmented generation.
 * Experience with front-end web and/or application development.
 * An M.S. in computer science, data science or a related field within the past 5 years., *Eligibility Requirements : To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.

## Description

Initially, you'll design, implement, and deploy scalable software systems supporting AI-enabled analytics and large-scale data integration. Responsibilities include developing production-quality Python code, designing APIs and data services, building cloud-native data pipelines, integrating heterogeneous data sources, and creating scalable analytics workflows for machine learning and scientific applications. You'll work with modern software engineering practices including version control, CI/CD, containerization, cloud-native architectures, and distributed computing, with opportunities to contribute to MLOps, DevSecOps, and advanced AI workflows that transition research into operational capabilities.

You'll collaborate with researchers and software engineers across multiple national laboratories and scientific disciplines-from computer science and mathematics to economics and engineering-to solve problems that transcend any single domain. Your work will span cloud-native architectures, large language models, knowledge graphs, and intelligent systems that augment human decision-making. This cross-disciplinary environment demands intellectual agility: you won't focus on a single technology stack but will rapidly acquire new skills and pivot between emerging technologies as national security priorities evolve.

This isn't abstract research. Your innovations will deploy in systems supporting government agencies protecting the nation's most vital assets. You'll thrive in a fast-paced environment where your ability to quickly learn and adapt is as valuable as your existing expertise. As AI advances and new threats emerge, you'll be at the forefront of innovation, constantly learning and applying cutting-edge technologies to mission-critical problems.

Unlike traditional positions focused on a single application, this role offers the opportunity to develop technologies supporting high-impact national security missions. Your success depends on openness to change, enthusiasm for learning in a fast-paced research environment, and ability to bridge disciplines and technologies as the national security landscape continuously transforms.

We anticipate hiring three (3) scientists for an initial two-year term appointment. During the early phase of the appointment, successful candidates will focus on data science and engineering, including building data pipelines and lakehouse capabilities using Databricks, developing AI models to identify and predict supply chain threats and vulnerabilities, and creating decision-support tools for the U.S. Department of Homeland Security., Where You Will Work