How We Build Data Mining Teams at Yelp
Date: This event took place live on June 18 2013
Presented by: Jim Blomo
Duration: Approximately 60 minutes.
Questions? Please send email to
Starting and growing a data science team doesn't have to be a risky proposition. By balancing long term strategy and technology goals with immediate business demands, your data science team can quickly become productive and enjoy sustained growth.
To accomplish this you need to:
This webcast presented by Jim Blomo will include examples and tips, and you will hear stories from successfully growing data teams at Yelp using this advice.
About Jim Blomo
Jim Blomo (@jimblomo) is passionate about putting data to work by developing robust, elegant systems. At Yelp, he manages a growing data mining team that uses Hadoop, mrjob, and oddjob to process TBs of data. Before Yelp, he built infrastructure for startups and Amazon.
Jim also lectures at UC Berkeley's School of information on Data Mining and Web Architecture and has presented at conferences such as AWS re:Invent and Wolfram Alpha Data Summit.
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