Data Science Institute Undergraduate Student Intern - Summer 2025 - Military Veterans

Company Description

Join us and make YOUR mark on the World!

 

Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

 

We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is essential to innovation and creativity for continued success of the Laboratory's mission.

 

Pay Range

 

$22.10 - $30.00

 

This position is under a step structure. Please note that the step placement is determined by your most recent completed academic year.

Job Description

Position will be closed to applicants on January 31, 2025. Mentors will have until February 7, 2025, to make their summer selections.

 

Internship Dates:

 

May 19, 2025 - August 8, 2025

 

June 23, 2025 - September 12, 2025

 

We have multiple openings for our Undergraduate summer internship program in data science. Our openings are for undergraduate level students to join the Data Science Summer Institute (DSSI). If you are graduating with your bachelor's degree this summer, then apply to the Data Science Summer Institute Graduate Student Intern position instead. The DSSI is a 12-week summer internship program and selected interns will be given the opportunity to engage in practical research to further their educational goals. The selected interns will work in the data science field and provide technical and/or research support to projects in the area of Machine Learning, Statistics, High Performance Computing, and other related fields. This is an on-site internship; attendance in person is required.

 

You will

 

• Work with scientists, engineers and technical staff members to provide technical and/or research support to projects in the areas of computational science, numerical methods, mathematics, or other related fields.
• Under close supervision, will participate in research in assigned area.
• Gather and analyze data and information in support of scientific research.
• Attend data science related short course, meetings, and participate in a data science challenge.
• Participate in research planning and evaluation discussion.
• Attend relevant seminars and participate in DSSI related courses, meetings and events.
• Present one seminar or poster on your research project.
• Perform other duties as assigned.

Qualifications

• Must be a continuing college or university student in good standing at an accredited institution pursuing an undergraduate degree in Computer Science, Statistics, Mathematics, Machine Learning, Computer Vision, Bioengineering, or other related fields.
• Effective programming skills in a high-level language such as R, Python or Matlab. Ability to apply basic principles of data sciences (machine learning, statistics, computer science, mathematics) to solve technical problems.
• Ability to present and communicate concepts and ideas.
• Ability to work in a team environment.
• Effective communication skills.
• Desire to understand and explore why certain algorithms are well-suited to specific applications.
• Desire to participate in individual or team efforts including the LLNL DSSI Challenge Problems.
• Desire to improve skills in public presentation of scientific results by giving presentations and participating in the LLNL student poster competition.
• Eagerness to obtain an understanding of new application areas.
• Exposure through coursework or relevant experience to some of the following topics: statistical modeling and data analysis, Bayesian and frequentist statistical frameworks, inverse problems, uncertainty quantification, Machine Learning, Computer Vision, multimedia signal and video processing, combinatorics and algorithms, graph modeling and social network analysis, modeling and Simulation

 

Qualifications We Desire

 

• GPA of 3.0 or above.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Why Lawrence Livermore National Laboratory?

• Included in 2024 Best Places to Work by Glassdoor!
• Holiday Pay
• Sick leave accrual
• Individual 401(k) contributions
• Inclusion, Diversity, Equity and Accountability (IDEA) - visit https://www.llnl.gov/diversity
• Our core beliefs - visit https://www.llnl.gov/diversity/our-values
• Employee engagement - visit https://www.llnl.gov/diversity/employee-engagement

Security Clearance

None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. (This process does not apply to foreign nationals.)

Pre-Employment Drug Test

External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

Wireless and Medical Devices

Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.

If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.

How to identify fake job advertisements

Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under "Find Your Job" of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.

To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf

Equal Employment Opportunity

We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

We invite you to review the Equal Employment Opportunity posters which include EEO is the Law and Pay Transparency Nondiscrimination Provision .

Reasonable Accommodation

Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.

California Privacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here .