Office Hour with Daniel Tunkelang

Expo Hall (Table D)

Are you a manager or executive struggling to hire data scientists? Are you thinking of interviewing for data science positions and concerned about the hiring process? Or are you interested generally in the challenge of connecting talent to opportunity in this space?

If you’ve answered yes to any of the above, let’s chat! Also happy to chat about the fun challenges building massive data products at LinkedIn.

ps. We’re hiring!

Photo of Daniel Tunkelang

Daniel Tunkelang


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.


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