by Jonathan Dinu, Katie Kent | Released March 2016 | ISBN: 9781491924259

"Wanted: Data Scientist." You've learned the concepts, you've seen the six-figure salary estimates, and now you really want the job. But there's a hurdle in the way: the job interview. Can you get one? And, once you land one, will you ace it or blow it? This video covers the nuances, misconceptions, and realities of the data science job hiring process. Presented by a team of data science educators and job placement professionals, the video uses a series of mock interviews (the software engineering technical interview, the data science theory interview, and the applied data science interview) to explain the concepts you need to know, as well as the social and behavioral aspects necessary, to successfully navigate the data science interview process. Explore the distinctions between job titles like data scientist, data analyst, and data engineerDiscover the "Growth Hacking" technique that will help you land interviewsUnderstand who the stakeholders are in the hiring processCraft a "what-people-will-remember-about-you-​after-the-interview" sales pitchLearn how to identify the data science concepts to review before the interviewReview techniques for passing the technical screen and what to do if you flub a questionUnderstand how to analyze salary vs. equity compensation offersThis video includes additional resources at http://www.galvanize.com/resources/the-​data-scientists-guide-to-interviewing.Jonathan Dinu and Katie Kent direct the data science program at Galvanize, Inc., a data science training organization. Galvanize has campuses in San Francisco, Seattle, Austin, Fort Collins, Boulder, and Denver. Show and hide more Publisher resources View/Submit Errata

1. Introduction
   • Welcome and About the Authors 00:01:28
   • Introduction to the Video Series 00:03:46
2. Preparing for Interviews
   • Building and Marketing Your Skills 00:18:34
   • Understanding the Interview Process 00:04:09
   • Getting Hired is a Skill 00:05:19
   • Understanding the Data Science Skills Map 00:04:19
   • Common Questions in Data Science Interviews 00:02:40
   • Data Science Job Titles 00:02:40
3. Getting Interviews
   • The Interview Funnel 00:02:00
   • Effective Strategies for Getting Hired 00:01:31
   • Crafting a Sales Pitch 00:05:17
   • Finding Quality Leads through Your Network 00:02:12
   • Direct Messaging Your Sales Pitch 00:04:34
   • Hard Work is Your Friend 00:02:36
4. Real-World Experiences
   • Introduction to Greg Kamradt 00:00:29
   • Greg's Interview Funnel 00:02:30
   • Sourcing Interviews 00:03:26
   • Pitching 00:08:36
   • Interviewing 00:13:14
5. Mock Interviews
   • Introduction to Mock Interviews 00:03:52
   • Mock Interview: Software Engineering Technical 00:11:54
   • Analysis of Software Engineering Technical Interview 00:08:24
   • Mock Interview: Data Science Theory 00:13:12
   • Analysis of Data Science Theory Interview 00:03:07
   • Mock Interview: Applied Data Science 00:18:22
   • Analysis of Applied Data Science Interview 00:05:40
6. Negotiation
   • Evaluating Offers 00:05:00
   • What is a Data Scientist Worth? 00:02:51
   • Negotiating Salary 00:02:33
   • Many Things are Negotiable 00:04:47
   • Help, I've Never Done This Before 00:01:44
   • Giving Yourself Room to Grow 00:02:34
   • Conclusion 00:00:50
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