Artificial Intelligence and Data Science Scientist (Scientist 1)

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., Where You Will Work

• 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.

Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:

• PPO or High Deductible medical insurance with the same large nationwide network
• Dental and vision insurance
• Free basic life and disability insurance
• Paid childbirth and parental leave
• Award-winning 401(k) (6% matching plus 3.5% annually)
• Learning opportunities and tuition assistance
• Flexible schedules and time off (PTO and holidays)
• Onsite gyms and wellness programs
• Extensive relocation packages (outside a 50 mile radius)

Additional Details

Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.