Cleared Senior/Principal R&D Systems Research and Analysis - Data Analyst, Onsite

Sandia Corporation•Albuquerque, NM

27d•$114,000 - $227,500•Onsite

About The Position

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.

Requirements

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.

Nice To Haves

Graduate degree in a highly related field where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation).
The ability to understand, synthesize, and draw insights from multiple types of data streams (e.g., technical, economic, policy) through the use of various analytical tools.
Experience working as part of multi-disciplinary teams examining complex systems.
Knowledge of the fundamentals of good project management, especially as it pertains to the execution of federally-funded work (e.g., proposal development through annal review, final delivery, and closeout).
Experience working with federal sponsors in the defense and intelligence sectors, as well as their domestic FFRDC partners, international partnering agencies, and foreign governments.
Strong verbal and written communication skills, ability to work effectively in multidisciplinary teams delivering critical information to customers in a succinct manner.
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.

Responsibilities

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.

Benefits

Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance
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)

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