Los Alamos National Security LLC
Data Analysis Post Bachelors Student
Los Alamos National Security LLC, Los Alamos, New Mexico, us, 87545
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 and 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 like 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 following example efforts: 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 of the following 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.
Experience in data‑scientific programming (e.g., MATLAB, Python, Julia or 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 or statistical models to time series data with a fundamental understanding for how the models work and analyzing experimental test data. Experience in engineering, such as signal processing, including time and frequency domain analysis; data acquisition, experimental test setup and data collection; modeling and simulation. Education:
A bachelor’s degree in engineering, physics, applied mathematics, statistics, data science or a related technical field earned within the past two years is required. For engineering degrees, graduation from an ABET accredited program is required. Work Location:
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. Clearance: Q. Applicants selected will be subject to a federal background investigation and must meet eligibility requirements for access to classified matter. U.S. citizenship is required. Where You Will Work
Los Alamos National Laboratory is a multidisciplinary research institution engaged in strategic science on behalf of national security. The following benefits are available to employees: PPO or high deductible medical insurance with a large nationwide network. Dental and vision insurance. Free basic life and disability insurance. Paid childbirth and parental leave. 401(k) with 6% matching plus 3.5% annually. Learning opportunities and tuition assistance. Flexible schedules and time off (PTO and holidays). Onsite gyms and wellness programs. Extensive relocation packages for locations outside a 50 mile radius. Equal Opportunity
Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status, disability, pregnancy, veteran status, genetic information or citizenship within the limits imposed by federal, state and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. For assistance, contact applyhelp@lanl.gov or call (505)-664-6947 opt. 3.
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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 and 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 like 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 following example efforts: 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 of the following 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.
Experience in data‑scientific programming (e.g., MATLAB, Python, Julia or 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 or statistical models to time series data with a fundamental understanding for how the models work and analyzing experimental test data. Experience in engineering, such as signal processing, including time and frequency domain analysis; data acquisition, experimental test setup and data collection; modeling and simulation. Education:
A bachelor’s degree in engineering, physics, applied mathematics, statistics, data science or a related technical field earned within the past two years is required. For engineering degrees, graduation from an ABET accredited program is required. Work Location:
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. Clearance: Q. Applicants selected will be subject to a federal background investigation and must meet eligibility requirements for access to classified matter. U.S. citizenship is required. Where You Will Work
Los Alamos National Laboratory is a multidisciplinary research institution engaged in strategic science on behalf of national security. The following benefits are available to employees: PPO or high deductible medical insurance with a large nationwide network. Dental and vision insurance. Free basic life and disability insurance. Paid childbirth and parental leave. 401(k) with 6% matching plus 3.5% annually. Learning opportunities and tuition assistance. Flexible schedules and time off (PTO and holidays). Onsite gyms and wellness programs. Extensive relocation packages for locations outside a 50 mile radius. Equal Opportunity
Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status, disability, pregnancy, veteran status, genetic information or citizenship within the limits imposed by federal, state and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. For assistance, contact applyhelp@lanl.gov or call (505)-664-6947 opt. 3.
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