UCLA 2023 Data Science Career Fair
Thursday, October 19, 2023
A collaboration between the UCLA Career Center and NSDC x DataRes x UMSA.
Fall 2023 UCLA Careers in Data Science, Statistics, and Math Night (In-Person)
Fall 2023 UCLA Careers in Data Science, Statistics, and Math Night is hosted in partnership with the UCLA Career Center, DataRes, and the Undergraduate Math Student Association. The focus is to provide recruitment opportunities for students seeking careers in quantitative fields, more particularly data science. Employers will have the opportunity to connect with UCLA's bright pool of dedicated students, and students will develop connections with industry professionals. Organizations in attendance are seeking both full-time and internship positions.
This event will take place on Tuesday, October 19th, 2023 in the Career Center Strathmore Building (Room 200) from 7 to 9pm.
We hope to see you all there!
Make sure to register before the event on Handshake. Student registration is currently open!
See our Interview & Resume page for resources on how to improve your resume and develop your networking skills beforehand to maximize your career fair potential! As always, our board members are available on Slack to help with any professional development inquiries.
Look into attending the Pre-Fair Networking Event (information below) beforehand!
To attend the career fair, you must register beforehand on Handshake. Registration is currently open!
Estimated attendance of 100+ talented students interested in the fields of math, statistics, and data science.
You will also have the opportunity to sponsor NSDC, DataRes, or UMSA in exchange for various opportunities and services.
Pre-Fair Networking Event: Inside Careers in Data Science
Wondering if a career in data science is right for you? Join us for this networking opportunity to meet alumni and professionals working in diverse data-focused roles across various industries for a conversations about the field. Connect and learn about different career options and settings. Discuss what technical and soft/success skills are necessary to succeed in the field, as well as how to strengthen these skills through internships, coursework, and self-directed training. Register here!