The link to the full 60+ minute talk is here.
In it, I give the students advice on everything from interviews, using LinkedIn effectively, why you should give a technical presentation if you are invited on-site, what to do if they ask you non-data-science questions (e.g., software engineering problems), and much more.
I started with an overview of the data science job hunt process and then opened it up for questions. You can either listen to the video in its entirety (recommended) or jump directly to questions that are relevant to your search:
- (19:15) What kinds of questions do they ask in whiteboard interviews
- (21:45) Why you should focus on telling interviewers *what* you know, not *how* you learned it (e.g., online courses
- (24:15) What types of multimedia you should include on your LinkedIn profile
- (28:45) How to talk about projects on your resume
- (31:45) What you should do on LinkedIn besides optimizing your profile
- (36:00) What to do if you don’t know the answer to an interviewer’s question
- (37:45) The importance of non-technical interview questions
- (40:00) The importance of giving presentations during your on-site visit
- (43:45) Make sure you know more than just academic theory
- (47:45) Are there “benchmarks” to determine if you are being effective in your job search
- (50:00) Tips on being organized in your search
- (53:00) What does a typical job search look like, month-by-month
- (54:00) What do you do if they ask you non-data science questions? (e.g., software engineering questions
- (58:00) Why you need to make interviews two-way conversations
There is a lot of great material in here so I encourage you to listen with pen and paper in hand so you can take notes. This will definitely help you in getting a data science job.