Data Analysis Post Masters Student

What You Will Do

The Data Analysis Team within the Test Engineering group (V-14) seeks candidates with experience applying data‑driven, computational, and analytical techniques to challenges in engineering and the physical sciences. Our mission is to organize and consolidate measured data and employ those data to provide accurate, timely, data‑driven products in support of the annual assessment, stockpile modernization, and other national security missions.

• Utilize efficient data processing and signal‑analysis techniques on large‑scale, multimodal time‑series data (e.g., vibration, electromagnetic, environmental) to rapidly detect and characterize signals of interest in support of national security missions, including weapons and nonproliferation efforts.
• Develop and implement statistical methods for engineering and scientific data, such as functional analysis of variance, to provide real‑time decisions with theoretical guarantees.
• Apply data science and statistical principles to develop and evaluate a wide range of mathematical models, including generative, regression, and classification approaches in deep learning as well as linear and other machine‑learning methods.
• Organize, label, and otherwise munge large sets of engineering data for preparation for subsequent analysis.
• Monitor data collections from aircraft performing maneuvers to ensure collected data represent realistic weapons environments using informed engineering knowledge.

Our work integrates diverse theoretical disciplines, including data science, artificial intelligence, classical and Bayesian statistics, and mathematics, and applies them to complex physical systems in areas such as mechanical, electrical, and physical sciences. Depending on the skills and interests of the selected candidate, they may contribute to any of the above example efforts, such as:

• Data munging and exploratory analysis.
• Implementing existing or developing new mathematical theory for an application.
• Contributing to our collaborative code base of analysis tools.
• Building advanced artificial intelligence models or pipelines (deep learning, machine learning, custom statistical models).
• Applying foundational engineering knowledge to provide informed decisions to stakeholders.

What You Need

Minimum

Job Requirements:

• Experience in both areas:
  • An applied or natural science discipline such as engineering (mechanical, electrical, etc.), physics, or chemistry.
  • A computational or data‑focused discipline such as computer science, data science, applied mathematics, or statistics.
  • Combination demonstrated through a double major, a major‑minor pairing, or a major in one field complemented by substantial experience in the other.
• Experience in data‑scientific programming (e.g., MATLAB, Python, Julia, R).
• Strong interpersonal, oral, and written communication skills.
• Demonstrated success working in an integrated team environment.

Desired

Qualifications:

• Proficiency with object‑oriented programming and version control systems (e.g., Git).
• Experience in data analysis, such as implementing mathematical/statistical models to time‑series data with fundamental understanding of how the models work.
• Analyzing experimental test data.
• Experience in engineering, including:
  • Signal processing, including time and frequency‑domain analysis.
  • Data acquisition, experimental test setup, and data collection.
  • Modeling and simulation.

Education:

• A master's degree in engineering, physics, applied mathematics, statistics, data science, or a related technical field earned within the past three years is required. For engineering degrees, graduation from an ABET‑accredited program is required.
• Must have graduated with a cumulative GPA of 3.2 on a 4.0 scale (or equivalent).

Work Location: The work location for this position is onsite in Los Alamos, NM. All work locations are at the discretion of management.

Note to Applicants:

• Applicants must submit a cover letter that addresses the key requirements of the position and outlines the applicant's interests.
• Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China (including the special administrative regions of…