From Data to Deployment: Full Stack Data Science

Wed, 16 Aug 2017 19:00 - 21:00

Ebisu Garden Tower 32F Indeed Tokyo Tech Office

Yebisu Garden Place Tower 32F, 20-3 Ebisu 4-chome, Shibuya-ku, Tokyo 150-6032

Baljinnyam Namsrai 永野雄大 Tomohiko  Ikeda Kevin Kee Yannan Wang Yunta Ikemiya Rainer Mager Suzana Ilić John Paul Soliva Naveed Afzal 上嶋 智太郎 Grace Wang Kanio Dimitrov Xingyang Lu Tomislav Dukaric Shinichi Takayanagi + 74 more participants
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Free admission
Free admission Indeed will provide food and refreshments

Event Schedule:
18:45 Door opens
19:20 Pizza Arrives! - food and mingling
19:30 Tech Talk (1hr)
20:30 Q&A and further networking
22:00 Door closes


Indeed serves over 200 million job seekers a month. We have petabytes of data about jobs, resumes, clicks, impressions, applies, and hires -- data that tells us everything about how these job seekers are discovering and finding new jobs. This data flows into sophisticated data science solutions that power Indeed's most important products.
In this talk, we’ll walk you through an actual Indeed data science full-stack model building process: from labeling data, performing analysis, generating features, building the model, validating the model, building infrastructure, deploying the model, and monitoring the solution. We will discuss how these techniques are applicable across a broad set of domains.

Speaker Bio:
Benjamin Link has been a Data Scientist at Indeed for over 3.5 years. He works as a tech lead and data science manager with the Applicant Quality and Data Science Platform teams in San Francisco. Ben went to the University of Colorado at Boulder and studied machine learning with Michael Mozer.

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