The Professional Career Graph of a Data Scientist

The Professional Career Graph of a Data Scientist

It is indeed not a hard task to get hold of surveys of salaries of data scientists at senior and junior levels alike according to the place of work as well as the skill set possessed by the individual there are few readily available analysis of how the salary of a data scientist progressed over the course of careers than spanned over 25 years. This post seeks to fill in that gap by examining the career of Vincent Granville, a data scientist considered with high esteem in the Big Data industry.
The Professional Career Graph of a Data Scientist

The Beginnings
•    He started his career as a data scientist way back in 1988 as a PhD student of computational statistics, working part-time for a company which was in a partnership with the stats lab of his university in Belgium. The tuition fee for his program was free and he got a salary of €18,000 per year.

•    He finished his PhD in 1993 but was still attached to his university and got a pay package in the roundabouts of €25,000 per year.

•    In ’94-95 he worked as research fellow at Cambridge University and was pursuing his Postdoc and got near about £20,000 a year per year.

•    He moved to North Carolina, US in 1996 in order to complete his Postdoc at the illustrious National Institute of Statistical Sciences and received a salary of $45,000 per year which was a 30% boost.
In The Industry

•    He started his professional career working as a statistician foe CNET in 1997 at the location of New Jersey which employed a few hundred people in that particular period. His salary rose to $65,000.

•    By 1999 his salary was raised to $74,000 while still working for CNET.

•    In the year 2000 he shifted base to San Francisco working for the NBCi which was acquired from the parent CNET by NBC and got the position of a research manger with a salary of $84,000 and a further $100,000 in stock options over the years of 1999-2000.

•    He made a comeback to CNET in 2001 as a senior statistician working at San Francisco and got paid around $95,000.

•    From 2002 to 2005 he started to work as a consultant after the demise of the dotcom bubble. He worked for Visa in a fraud detection project and got paid $55 to the hour, followed by several months at Wells Fargo with a relatively lesser amount of $45/hour but company really appreciated his work.

•    During 2005 and 2006, he worked as a consultant with Infospace where he worked to detect click fraud detection for $90/hour and shuttled between San Francisco and Seattle. Infospace eventually hired him for $120,000 in 2005 and $125,000 in 2006. He relocated to Seattle.
•    In 2007 he raised around $6 million as venture capital as the Chief Science Officer at a startup called Authenticlick located in Los Angeles. At first the salary was $150,000 which was raised to $175,000 and sold a patent for $100,000.

Authenticlick went bust in 2008 and Mr. Granville joined a competitor with the company name of Adometry in Austin. He worked as Chief Scientist and got around $165,000 to the year.
•    During 2009 and 2010 he did some consulting work with eBay for $85 per hour and subsequently with Microsoft for $48 per hour along with employee benefits.

•    During 2010 to 2012 he worked as the Chief Scientist at Looksmart which was an ad network and got $155,000 per annum. The company paid for the whole expenses of his frequent visits between San Francisco and Seattle.

•    In 2013 Mr. Vincent Granville co-founded Data Science Central and makes more than $400,000 every year and still resides at Seattle. He still does consulting work for $100 per hour and with increased automation the effective rate works out to considerably more than that.

Other Notable Contributions
Mr. Granville was also the chief architect of Datashaping subsequently known as Analyticbridge and metamorphosed into Data Science Central after acquisition. The revenue rose from $6,000 in 2001 to $60,000 in 2010.

November 4, 2015 8:35 am Published by ,

Advanced Analytics and Data Science, Big Data

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