Silicon Valley Data Science

We are a data science company that specializes in agile and business-focused solutions.

  • Founded 2013
  • 16-50 Employees

About Silicon Valley Data Science

Who we Are

In a rapidly-changing technology landscape, it’s hard for companies to reap the full business advantage that big data offers. The key to unlocking big data is building skilled and proficient data teams, yet this expertise comes at a premium and can be hard to find. This is why we created Silicon Valley Data Science: to create data teams who are talented, know how to meet business needs with technology, and balance data science and engineering.

Our experience in building products, engineering systems and strategic consulting has led us to develop a distinctive methodology that blends the best of agile product development and iterative consulting techniques. We work with our clients to iterate towards big data applications that create meaningful business impact.

We have assembled a team of big data experts: scientists, engineers, architects, consultants and entrepreneurs who have been there before. We’ve built data-driven applications, we’ve engineered large-scale data systems, we’ve driven deep analytical insights, we’ve interpreted data for business users, and we’ve translated insight into action. Our team has a wealth of experience from companies large and small, including Accenture, @WalmartLabs, O’Reilly Media, Karmasphere, LiveOps, Joyent, Tivo, ShareThis, SPSS (IBM), Yahoo!, Sun Microsystems (Oracle) and Chicago Board Options Exchange.

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Tech Stack
  • C++
  • Java
  • Python
  • R
  • Hadoop
  • HBase
  • Hive
  • Impala
  • Cassandra
  • Storm
  • Flume
  • Kafka
  • MapReduce

  • Medical, Dental, & Vision Insurance Medical, Dental, & Vision Insurance

  • Eric Chin
  • Michael Kim
  • GSV Capital
  • Jim McLean

  • Eric Chin
  • Michael Kim
  • GSV Capital
  • Jim McLean