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.
Salary Range:
Qualifications We Require:
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
Qualifications We Desire:
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).
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.
About Our Team:
About Sandia:
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, relocatio
Additional Information
What Your Job Will Be Like:
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.
Sandia National Laboratories · Albuquerque, NM