Data Science Mission Analytics, Onsite
Lawrence, Douglas County, Kansas, 66045, USA
Listed on 2026-02-12
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IT/Tech
AI Engineer, Data Scientist, Data Analyst, Machine Learning/ ML Engineer
About Sandia:
Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting‑edge work in a broad array of areas. Some of the main reasons we love our jobs:
- 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*
World‑changing technologies. Life‑changing careers. Learn more about Sandia at: http://(Use the "Apply for this Job" box below)..gov
* These benefits vary by job classification.
What Your Job Will Be Like:We are seeking an Data Science professional to work on teams addressing some of the nation
¿ s most difficult challenges in the areas of information science, statistical analysis, cyber analytics, geospatial analytics, text analytics, artificial intelligence, machine learning and software and firmware engineering.
On any given day, you may be called on to:
Understand and address existing and emerging threats among a diverse customer set leveraging advanced data science tools and techniques.
Apply state of the art AI/ML techniques to diverse and complex data sets and implement them on national security systems.
Propose and lead data‑centric engineering, research and development projects, ensuring alignment with organizational and customer goals.
Work closely with government, industry and university partners to produce and disseminate high‑quality research proposals, foster collaboration, drive technological advancements and communicate findings and recommendations via publications.
Due to the nature of the work, the selected applicant must be able to work onsite.
* Candidates applying on this requisition may be interviewed and/or hired into one of the departments in 5550 - depending on their strengths, experience and program needs.
Salary Range:$114,000 - $227,500
* Salary range is estimated, and actual salary will be determined after consideration of the selected candidate’s experience and qualifications, and application of any approved geographic salary differential.
Qualifications We Require:- A Bachelor's degree in a relevant discipline and five (5) years of directly relevant experience, 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 and SCI clearance, which may require a polygraph test.
The ideal R&D Data Science candidate for Sandia National Laboratories will in addition possess the following:
- Graduate degree in a relevant computationally‑intensive discipline 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.
Also, for this posting we are seeking individuals with the following experience:
- Experience in computer programming languages such as C/C++, Java, Python
- Proficient in data science techniques for embedded devices and experienced with deep learning frameworks like PyTorch or Tensor Flow
- Familiarity with test and measurement equipment (e.g., oscilloscopes, radio frequency test equipment) and experience in microelectronic systems design and analysis, including…
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