What even is a data science interview? Do they want me to be a developer, or an analyst, or a unicorn? At this workshop we’ll go over what to expect in data science interviews, focusing especially on in-person tech interviews. From the basic layout to the right answer to (almost) every “what data structure can you use to make this faster” question, you’ll be ready to land the internship or job of your data-science-filled dreams.

Chris Mulligan is currently a Quantitative Researcher at Two Sigma Investments, LP. He builds models to make predictions of financial markets using untraditional data, which is a sentence he never imagined he’d say about himself. Prior to Two Sigma, Chris interned at Kickstarter, Facebook, and The New York Times, and before that, he spent 7 years in political data analysis and modeling, most recently as Director of Analytics at YouGov. Chris received BA and MA degrees in computer science and statistics from Columbia in 2015, where he was a TA for COMS3157 AP and STAT4400 StatML and cofounded CDSS.

Slides: bit.ly/2yt3aD7