Daniel Tunkelang

Daniel Tunkelang
Advisor, Various

Website | @dtunkelang

Daniel Tunkelang is Director of Data Science at LinkedIn, where he leads a team straddling the boundary between science and engineering and delivering products that LinkedIn’s 200M+ members love and use everyday. He previously led a local search team at Google, and he was a founding employee of faceted search pioneer Endeca (acquired by Oracle in 2011), where he spent ten years as Chief Scientist.

Part of his mission is bridging the gap between industry and academia. He established the Symposium on Human-Computer Interaction and Information Retrieval (HCIR), which has taken place annually since 2007. In addition to speaking at two previous Strata conferences, he has organized and delivered invited talks at top international conferences focused on search, recommender systems, and social media. He wrote the first book on faceted search as part of the Morgan & Claypool Synthesis Lectures, and he is on the editorial board of the Journal of Big Data.

He holds degrees in math and computer science from MIT and a PhD in computer science from CMU, where he developed new algorithms for network visualization.

Sessions

Business, Case Studies Great America Ballroom J
Daniel Tunkelang (Various)
Average rating: ****.
(4.67, 3 ratings)
It's great being a data scientist -- some are even calling it the sexiest job of the 21st century. What's not so great is trying to hire data scientists when the demand for them far outstrips the supply. Which makes it imperative that you nail the hiring process. In this session, I'll share hiring tips, and specifically what we've learned at LinkedIn about how to interview data scientists. Read more.

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