Data Science Lies, Sex and Videotape


Everybody who is anybody, from aspiring actresses to politicians, seems to have made a sex tape.

For some, it seems to have boosted their career, for others, it has been damaging!

According to the Harvard Business Review, the sexiest job of the 21st century is that of the data scientist, driven by the advent of Big Data.

But, like politicians, the data scientists career is unlikely to be helped by a sex tape!

The data scientist, we are told, must bring a blend of solid programming skills (in order to cope with the open source tools required to probe Big Data), strong statistical and mathematics analytical skills, SQL skills and the ability to build data and predictive models. A Ph. D. in Computer Science or Statistics coupled with Hadoop, machine learning and maybe some visualization skills would be a good starting point.

As if this isn’t enough, data scientists must grasp business principles in order to ensure that both their research and their insight are relevant, and have the string interpersonal communications skills to sell their vision to senior business and IT executives. Creativity, story telling, domain expertise – just a few pieces to add to the puzzle.

Unsurprisingly, these extremely scarce resources are commanding premium packages – that’s if you can actually find one!

Most companies will not be able to find one, or, if they do, will not be able to afford them.

Yet the skills described are available in most organisations today.

Data Science should be a team effort.

Who should be in this team and what tools can empower them?

 

For some, it seems to have boosted their career, for others, it has been damaging!

 

According to the Harvard Business Review, the sexiest job of the 21st century is that of the data scientist, driven by the advent of Big Data.

 

But, like politicians, the data scientists career is unlikely to be helped by a sex tape!

The data scientist, we are told, must bring a blend of solid programming skills (in order to cope with the open source tools required to probe Big Data), strong statistical and mathematics analytical skills, SQL skills and the ability to build data and predictive models. A Ph. D. in Computer Science or Statistics coupled with Hadoop, machine learning and maybe some visualization skills would be a good starting point.

As if this isn’t enough, data scientists must grasp business principles in order to ensure that both their research and their insight are relevant, and have the string interpersonal communications skills to sell their vision to senior business and IT executives. Creativity, story telling, domain expertise – just a few pieces to add to the puzzle.

Unsurprisingly, these extremely scarce resources are commanding premium packages – that’s if you can actually find one!

Most companies will not be able to find one, or, if they do, will not be able to afford them. Yet the skills described are available in most organisations today.

Data Science should be a team effort.

Who should be in this team and what tools can empower them?

– See more at: http://www.masterdata.co.za/index.php/mdm-insights/87-news/mdm-insights/289-data-quality-lies-sex-and-videotape#sthash.suMP66ju.dpuf

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2 thoughts on “Data Science Lies, Sex and Videotape

  1. Pingback: How sexy are your business analysts? | Data Quality Matters

  2. Pingback: Data scientists must see the story behind the data. | Data Quality Matters

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