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Lessons Learned The Hard Way: Data Science Interviews

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Lessons Learned The Hard Way: Data Science Interviews Greg Kamradt - August, 17th, 2015 - Galvanize - San Francisco


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Greg Kamradt @gregkamradt gkamradt@gmail.com Galvanize Cohort 6 - Spring 2015 April 13th - July 10th Ryd.io Senior Analyst, Product Data Science - Salesforce Salesforce > R&D > Product Data Science > Business Analytics & Strategy


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First...the data 63 Unique Companies 40 Companies Processed 10 Interviews in Progress


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“If I wanted a XYZ data scientist, I’d go grab one off the street...but I don’t, I need someone like you.” “Finding a Data Scientist is hard, hiring one is harder.” Robin Glinton Hernan Asorey


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Take Aways Organize and follow up Make everyone’s job easier Hard creative energy


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Lessons Learned Old Process New Process Front Door Apps Reaching Out Reaching Out Front Door Apps


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The Process Sourcing Pitching Interviewing


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1. Sourcing Where do I find companies to apply? How do I stay organized?


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Sourcing Personal Big List VCs Alternative Data Science Industries Staffing Hacker News Who’s Hiring? - August, 2015 - 51 DS Jobs DataTau Goal: Huge list > Pluck and Prune


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Organize and Follow Up! You’re an in-demand data scientist...keep your cool and stay organized.


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Company List


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Email/Interview Tracker


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2. Pitching How do I get the attention of the right person? What can I do to reduce friction?


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Pitching Process Company List Tech Recruiters/Data Scientists - LinkedIn The Email Pitch


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Finding the Gate Keeper Tech Recruiters/Data Scientists “site:linkedin.com Instacart technical recruiter” Asses size of company, data science team When in doubt, reach out Goal: Get your story in the right hands


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Make everyone’s job easier! You get one shot, if that, to leave your mark. Make it easy on the gate keeper.


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Email Pitch Quick intro Name, background, Galvanize (fka Zipfian Academy), link to the program (alumni), “I’m a data scientist” Final Project Easy, digestible, appeal in under 20 seconds, sharable, readable Express Interest to Learn More “I’m excited about the interesting problems XYZ is working on” “I’d love to find out more about the data team at XYZ” Hint: You’re going to be forwarded Subject: “Introduction - Kamradt”


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Visual > Text > Code Final project MUST have a web presence Make it easy for others to share and digest r/dataisbeautiful, r/datascience, blogs, newsletters, twitter, HN, DT Final Project Goal: Win over the gate keeper and do a phone screen


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Let your work do the talking


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3. Interviewing How can I most efficiently convey my skills? How can I prep for calls?


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Step in your interviewer’s shoes Do your prep!


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Interview Prep No excuses Recruiters are your friend Do your research on interviewer blog, linkedin, articles, interests, tech stack Questions are GOLDEN! Google: “XYZ company news” Ask about role/responsibility transitions Goal: No surprises, be prepared


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Interview Key Points Most common questions Tell me about your background, why us/our data? Open phone call light hearted Sharp direction > General > “Down for anything” It’s ok to not know an answer, don’t panic “That’s an awesome/interesting question, I’d love to do more research and put together an answer” Re-write your resume - tip of your tongue Ditto for DS prep SQL - 0/3 Goal: Efficiently deliver your preparation


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Hard Creative Energy! more([“work”, “attention”, “energy”]) -> [“More Benefit”]


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Resources and Goodies Company List Email/Interview Tracker Cold Email Intro Template Resume - Creddle.io Interview Prep - All Galvanize Goal: Use and Improve for the next class


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Thanks! Any questions? You can find me at @gregkamradt gkamradt@gmail.com Final Project - Ryd.io


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