Los Alamos National LaboratoryInformation Science and Technology Institute (ISTI)
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LANL Community Data Science Fellow

Empowering Local Nonprofit Organizations through Data Science and Machine Learning

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Applications Due January 23, 2022
Program Dates Flexible:
Approximately June 6 - August 12, 2022

Ten-week summer internship

The Los Alamos National Laboratory Community Data Science Fellow is a paid full-time 10-week summer internship that provides a unique opportunity for a student to gain hands-on experience with scientific project leadership as well as data science.

The LANL Community Data Sprint, now in its second year, partners local Northern New Mexico organizations with LANL data scientists and machine learning researchers, using data collected by those organizations to understand community issues and provide actionable insights. The effort culminates in a data sprint where a group of LANL staff and students devotes a full week of time collaborating closely to rapidly produce the data-related insights requested by the partner organizations. Community organizations for 2022 have not yet been selected, but 2021 projects included investigating community college retention rates and risk factors, and local youth conservation corps diversity efforts. View the news story.

The selected Community Data Science Fellow will work closely with and receive one-on-one mentoring from the Community Data Sprint organizing team, and be involved with all aspects of the Community Data Sprint. This will include helping with organizing and planning before the data sprint week, interfacing with community partners, assisting with dataset transfer and wrangling, participating in the sprint week itself both as a data scientist and as a facilitator, and assisting with follow-up activities such as producing final reports and evaluating impact.

Note: Due to the COVID-19 pandemic, it is still to be determined whether the 2022 Community Data Science Fellow will be hired remotely or in person. We hope to, at a minimum, bring the Fellow to Los Alamos, NM to attend the data sprint week in person in late July.

Eligibility

The Community Data Science Fellow is a unique, interdisciplinary position. This position is best suited for upper-level undergraduate or graduate students in either a data science related-field (e.g., computer science, engineering, statistics, mathematics), or in a project management-related field (e.g., public policy, communications, business, nonprofit management).  Ideal candidates will have experience in both data science and project leadership, as well as exceptional written and verbal communication skills, particularly with regard to communicating technical results to a non-technical audience. United States citizenship is not required. To be considered for the position, students should have and maintain a 3.0 GPA for undergraduates or 3.2 for graduates, on a 4-point scale.

Application Materials

In addition to the questions below, you will be asked to send your resume/CV, a cover letter, and your academic transcripts. Unofficial university transcripts will suffice for the initial stage of the application process. If offered a position, official transcripts will be requested. We recommend that you prepare your supplemental documents prior to beginning the application.

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