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Data Science Career Q&A for Undergrads with Mallory LaRusso
We continue to answer data science career questions. We've heard back from a lot of different groups about the world of data science. In this episode, we're talking about undergraduate DS job prospects. Mallory LaRusso is a senior at NCSU finishing her BS in Statistics, and Minor in Genetics. Watch/Listen as Glen and Richard answer questions from our guest Malory as she tries to understand ways of how to properly transition from being an undergrad student to becoming a data scientist. From questions about data scientists’ typical workday to their most challenging projects to date, we’ve got it all covered in this episode!
Keywords: data analytics, data science, programming, coding, workday, work culture, educational background
 
0:00 - Introduction
02:20 - Series overview
06:44 - Educational and career path
09:16 - Typical work day
17:00 - The importance of writing in data science
20:39 - Work culture
23:30 - Type of data you work with
26:00 - Mathematical vs Statistical Models
31:45 - The harder DS jobs are what’s left
32:35 - Favorite project as data scientist
36:00 - Work on a real problem 
39:55 - Data scientists’ degrees
44:15 - Difference of data analytics and data science
54:13 - Favorite programming language
1:01:29 - How data science jobs will change
1:07:42 - Largest data set to have worked with
1:17:02 - Advice for students to prepare for data science roles
1:36:30 - What advantage does an undergraduate have?
1:40:22 - Wrap-up