Allow Data Scientists to Seize the Means of Production


Having a successful Data Science team is crucial for optimizing business and maximizing innovation. However, Data Scientists are often faced with challenges ahead when searching for data. From data not existing, data quality issues, and data coming from many different sources - the challenges can be daunting. In this session, Jon Malloy will discuss how you can fully define the data you need and begin gathering it as quickly and efficiently to allow Data Science teams to focus on the issues they want to focus on.


Jon Malloy is a Data Strategist at Snowplow where he is responsible for helping customers get the most value from their pipeline and derive meaningful insights. Prior to join Snowplow, Jon spent 4 years as a Technical Analyst in the US health care communications industry and 4 years as a Data Scientist in the US health care communications / finance industry. He holds as Master of Science in Business Analytics from Bentley University and resides in Boston, MA.

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

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