Preparing for a Data Science Career
Are you curious about careers in data science but unsure where to begin or which role fits you best? This four-session mini-course starts with an overview of data science roles for PhDs and how to prepare for a technical interview. We will then be joined by panels of data science professionals to take a deep dive into the skillsets required for success in careers in healthcare, technology, business, and commercialization.
Course Dates: November 12th, 14th, 19th, 21st | 5:30 – 7 p.m.
Course Capacity: 40
Location: IN-PERSON and on campus! Dinner will be provided.
Registration end date: Registration end date November .
Contact myCHOICE with questions: [email protected]
Session Content
Session 1: Overview of Data Science Careers
In this session you will get an overview of the different fields that comprise data science. This overview will expand beyond the four domain areas that will be covered in the following panel discussions.
Session 2: Applying for Data Science Roles and Demystifying Technical Interviews
Session 3 and 4: Data Science in Healthcare, Technology, and Business and Commercialization
You can register for any of the sessions. To help us efficiently organize this course, please register ONLY if you are committed to attending.
Overview of Data Science Careers
Peter Cooman, PhD
Lecturer, UChicago Data Science Institute; Data Visualization Engineer, Tempus AI
Data Science Professionals in Healthcare, Technology, and Business
Kayla Robinson, PhD
Principal Data Scientist, American Family Insurance
Alan Zablocki, PhD
Staff Data Scientist, Kraft Heinz Company
Farnaz Abdollahi, PhD
Data Scientist, Intel Corporation
Liliana Bello PhD
Data Science Consulting Associate, Exponent