Python Data Analysis Internship Jobs in New Mexico

Sandia National Laboratories is seeking a highly motivated Intern to join our Integrated Security Environment (ISE) Data Science team. This internship offers a unique opportunity to apply data science techniques to support national security and advanced technology projects. The intern will work alongside experienced data scientists and engineers to analyze complex datasets, develop predictive models, and contribute to innovative solutions in a secure and collaborative environment. There is opportunity for working remotely as well as on site.

Key Responsibilities:

• Assist in collecting, cleaning, and preprocessing large and complex datasets relevant to ISE projects.
• Develop and implement data analysis and machine learning models to extract insights and support decision-making.
• Visualize data and model results to communicate findings effectively to technical and non-technical stakeholders.
• Collaborate with multidisciplinary teams to integrate data science solutions into broader project goals.
• Document methodologies, results, and code to ensure reproducibility and knowledge sharing.
• Follow Sandia's security, safety, and quality protocols throughout all activities.
• Utilize and manipulate Excel spread sheets for input into the Data Monitoring System (DMS) to compile and generate technical reports, statistics, timelines, tables, and graphs; monitor project statuses and budgets and create presentations.
• Support the DMS Team with configuration, documentation, metagroup control.

The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary.

At Sandia, we value the important work done by our interns and its contribution to National Security. Because of this, our interns earn competitive pay rates. Our pay structure is based on earned credit hours, classification, and degree level. Your pay rate will be determined during the hire process and included in your offer package. You can view the Intern Pay Rate chart here.

You bring the confidence and skills to be eligible for the job by meeting these minimum requirements:

• Earned bachelor's degree
• Currently attending and enrolled full time in an accredited science, engineering, or math graduate program
• Minimum cumulative GPA of 3.0/4.0
• Ability to work up to 30 hours per week during the academic year, and up to 40 hours per week during the summer
• Ability to secure and maintatin a U.S. security clearance which requires U.S. citizenship

• Ability to learn quickly and handle multiple work assignments
• Excellent organizational, communication and teaming skills
• Strong desire to perform national security development work with a production focus
• Strong foundation in statistics, machine learning, and data analysis.
• Proficiency in programming languages such as Python, R, or similar.
• Experience with big data tools and platforms (e.g., Data Monitoring System) is a plus.
• Familiarity with cybersecurity or security-related data is beneficial.
• Prior internship or project experience involving real-world data science applications.
• Experience with data manipulation libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., scikit-learn, TensorFlow).

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.

Organization 2257 manages 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.

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.

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.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.

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