Data Science for Mission Analytics, Onsite at Sandia National Laboratories
Albuquerque, New Mexico, USA -
Full Time


Start Date

Immediate

Expiry Date

05 Dec, 25

Salary

227500.0

Posted On

06 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Embedded Devices, Hearing Aids, Artificial Intelligence, Addition, Applied Mathematics, Algorithm Development, Sci Clearance, Statistics, Test Equipment, Data Analytics, Reverse Engineering, Dissertation, Systems Design, Integration Projects, Enterprise

Industry

Information Technology/IT

Description

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://www.sandia.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.

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.

QUALIFICATIONS WE DESIRE

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 TensorFlow
  • Familiarity with test and measurement equipment (e.g., oscilloscopes, radio frequency test equipment) and experience in microelectronic systems design and analysis, including reverse engineering and malware analysis
  • Experience or training in research and development in one or more of the following or related areas:
  • Artificial Intelligence and Machine Learning
  • Optimization and mathematical programming
  • Statistics and Applied Mathematics
  • Data analytics (e.g. text, behavioral, spatiotemporal, cyber)
  • Algorithm development and implementation
  • Software Engineering
  • Embedded systems
  • Proven ability to conduct independent technical projects or scientific research
  • Experience in collaborative, team-focused environments with a desire to lead in various capacities (e.g., project leader, mentor)
  • Experience in designing, planning, and implementing research, development and integration projects
  • Active DOE Q clearance and SCI clearance.

NNSA REQUIREMENTS FOR MEDPEDS

If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.
If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date

Responsibilities

Please refer the Job description for details

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