Early Career Data Science - Artificial Intelligence Enablement- Hybrid

Sandia Corporation•Albuquerque, NM

60d•Hybrid

About The Position

Sandia's artificial intelligence (AI) team is building the U.S. Department of Energy's (DOE) next-generation AI Platform, an integrated scientific AI capability that delivers rapid, high-impact solutions for national security, science, and applied energy missions. The Platform is based on three pillars: Models, Infrastructure, and Data. You will join the Data Pillar team to design, implement, and operate Sandia's AI-ready, zero-trust data ecosystem. Your work will transform raw simulation outputs, sensor and facility logs, experimental records, and production data into governed, provenance-tracked, and access-controlled datasets that power AI models, autonomous agents, and mission workflows across DOE's HPC, cloud, and edge environments. We anticipate multiple hires for the Data Pillar that collectively span the set of responsibilities and skills described below. Likewise, new hires will be expected to work in conjunction with existing Sandia staff and teams from other DOE laboratories to deliver on this ambitious, fast-paced project. Importantly, we anticipate that while AI Platform development will leverage existing AI and data science tools extensively, success will also require considerable innovation and problem solving to address the unique needs of DOE applications. If this sounds like an exciting challenge to you, we look forward to reading your application! You will be part of a multi-disciplinary, mission-focused team delivering foundational data capabilities for transformative AI systems in national security, energy, and critical materials. Occasional travel may be required. If you¿re passionate about building the data backbone for next-generation AI at scale, we want to hear from you. The selected applicant can work a combination of onsite and offsite. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary.

Requirements

A Bachelor's degree in a relevant STEM discipline such as Data Science, Statistics or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development.
Ability to acquire and maintain a DOE Q clearance

Nice To Haves

Graduate degree (M.S. or Ph.D.) in a relevant computationally-intensive discipline with a where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation).
Experience in developing software for enterprise and national security applications.
Experience acquiring, preparing, and analyzing real world data.
Demonstrated software development skills and familiarity with modern software development practices.
Proven ability to work and communicate effectively in a collaborative and interdisciplinary team environment.
Degree in Data Science, Informatics, Statistics, or a related STEM field with a significant data research component
Background in AI-mediated data curation: automated annotation, feature extraction, and dataset certification
Familiarity with data security and zero-trust principles, including secure enclaves, attribute-based access control, and data masking or differential privacy
Familiarity with FAIR (Findable, Accessible, Interoperable, Reusable) data practices
Experience implementing data governance and metadata management tools (e.g., Apache Atlas, DataHub, Collibra)
Experience with programming languages, such as Python, R, SQL
Working knowledge of a variety of machine learning concepts, techniques, models, and tools
Familiarity with agile principles and practices
Implementing data policies for classified, export-controlled, or proprietary data
Advanced and automated data wrangling techniques for raw heterogeneous and streaming data sources, particularly for AI input
Ability to obtain and maintain an SCI clearance, which may require a polygraph test

Responsibilities

AI Solution Development & Deployment
R&D Translation
Workflow & Automation Engineering
Collaboration & Enablement
Quality, Ethics, and Governance

Benefits

Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
Extraordinary co-workers
Some of the best tools, equipment, and research facilities in the world
Career advancement and enrichment opportunities
Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance

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