Sandia National Laboratories

Senior/Principal R&D Systems Research and Data Scientist - Integrated Stockpile Evaluation, Onsite

Sandia National Laboratories$117K — $235K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in relevant discipline and 5 years of relevant experience, or equivalent education and experience.
  • Active DOE Q clearance or equivalent required.
  • Graduate degree in a computationally-intensive discipline preferred, especially with independent research.
  • Experience developing software for enterprise and national security applications desired.
  • Proficiency in programming, particularly in Python, with familiarity in statistical software such as Minitab, JMP, and R.

Responsibilities

  • Conduct statistical analyses to identify anomalies in nuclear weapons system data.
  • Support the Quantification of Margins and Uncertainties (QMU) process using rigorous analysis.
  • Automate analysis algorithms and integrate them into software applications.
  • Develop requirements and validate applications related to the QMU process.
  • Utilize machine learning techniques for data mining in archived stockpile data.
  • Prepare briefings and provide training related to data analysis and surveillance support.
  • Collaborate with engineers and organizations in an integrated work environment.

Benefits

  • Opportunity to work on nuclear weapons safety and reliability.
  • Collaborative work environment with diverse engineering teams.
  • Independence and initiative encouraged in daily tasks.
  • Access to advanced statistical and programming tools.
  • Engagement in cutting-edge research and development projects.
Full Job Description
What Your Job Will Be Like

Join the Integrated Stockpile Evaluation (ISE) Planning, Information & Data Systems team as a dedicated R&D Data Analyst where you will play a crucial role in enhancing the safety and reliability of nuclear weapons systems. In this position, you will conduct in-depth statistical analyses using high-order statistical algorithms to identify anomalies within development, production, and surveillance test data, providing valuable insights to nuclear weapon system and component engineers, as well as surveillance customers.

On any given day, you may be called on to:

Support the Quantification of Margins and Uncertainties (QMU) process through rigorous statistical analysis and the application of scientific methods.
Analyze data that has already been collected and conduct forensic data analysis to ensure data integrity and reliability.
Automate analysis algorithms and integrate them into software applications to streamline the QMU process.
Develop requirements, as well as the verification and validation of applications and algorithms, including the automation of the QMU process within software applications.
Utilize existing machine learning and deep learning methods to proactively mine archived stockpile data.
Prepare briefings, track work progress, coordinate efforts, and provide training related to data analysis and surveillance support.
Collaborate with various organizations and engineers in a coordinated and integrated environment.
Work both independently and as part of a team, demonstrating initiative and self-starting capabilities.
Identify and implement improvements to organizational processes and products.
Utilize a high level of technical competency, including knowledge of statistical techniques, statistical software, and programming skills.
Extract, manipulate, plot, and analyze data from multiple databases, and draft comprehensive reports.

Due to the nature of the work, the selected applicant must be able to work onsite

Salary Range

$117,500 - $235,700

*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.
Active DOE Q clearance or equivalent to start.

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:

Active DOE Q clearance or equivalent.
Experience in data mining, retrieval, and analysis, including the application of statistical methodologies.
Proficiency in programming, particularly in Python, and familiarity with statistical software such as Minitab, JMP, and R.
Knowledge of nuclear weapon/component design, production, testing methodologies, and performance assessment.
Experience in machine learning and deep learning methods.
Project management experience, with a demonstrated ability to operate independently and drive process and product improvements.
Strong critical and creative thinking skills, with the ability to think outside the box.

About Our Team

We manage the Integrated Stockpile Evaluation (ISE) as a program driven to understand all aspects of stockpile systems to ensure that the nuclear weapon stockpile is known, with increasing certainty to be safe, secure, reliable and effective both now and into the future. ISE integrates a variety of stockpile evaluation programs and focuses on contributing to the transformation of US nuclear weapons stockpile and complex.

Posting Duration

This posting will be open for application submissions for a minimum of three (3) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.

Security Clearance

Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.

Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.

About Sandia National Laboratories

The Sandia National Laboratories is one of three National Nuclear Security Administration research and development laboratories in the United States, managed and operated privately by the National Technology and Engineering Solutions of Sandia. Their primary mission is to develop, engineer, and test the non-nuclear components of nuclear weapons and high technology. Headquartered on Kirtland Air Force Base in Albuquerque, New Mexico, it also has a campus in Livermore, California, next to Lawrence Livermore National Laboratory, and a test facility in Waimea, Kauai, Hawaii. It is Sandia's mission to maintain the reliability and surety of nuclear weapon systems, conduct research and development in arms control and nonproliferation technologies, and investigate methods for the disposal of the United States' nuclear weapons program's hazardous waste. Other missions include research and development in energy and environmental programs, as well as the surety of critical national infrastructures. In addition, Sandia is home to a wide variety of research including computational biology, mathematics, materials science, alternative energy, psychology, MEMS, and cognitive science initiatives. Sandia formerly hosted ASCI Red, one of the world's fastest supercomputers until its decommission in 2006, and now hosts ASCI Red Storm, originally known as Thor's Hammer. Sandia is also home to the Z Machine. The Z Machine is the largest X-ray generator in the world and is designed to test materials in conditions of extreme temperature and pressure. It is operated by Sandia National Laboratories to gather data to aid in computer modeling of nuclear weapons. In December 2016, it was announced that National Technology and Engineering Solutions of Sandia, under the direction of Honeywell International, would take over the management of Sandia National Laboratories starting on May 1, 2017. Educational opportunities are conducted in collaboration with university students through several programs, including the Securing Top Academic Research & Talent at Historically Black Colleges and Universities Program and the Sandia University Partnerships Network.
Learn more about Sandia National Laboratories
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1948

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