Trust in Data Science

Trust – a person on whom or thing on which one relies (Dictionary.com)

Data Science is a difficult field.

There isn’t always certainty in the answers, methods or recommendations. What works today may not work tomorrow or in a new field. A new algorithm speeds things up, new information changes the best method, best practices change. Staying on top of all of that is most definitely a challenge. Being a CEO, CIO, or even a Chief Data Scientist is a daunting task. Which is why the people who do the actual day to day work need to be trust worthy. As the CEO or a colleague, I need to trust that you know what you’re doing and that what you recommend is something I can go along with. I may not always be in a place to verify every detail of your work, or sometimes even understand it.

So if you’re a douchebag online, insult people online, make sexist remarks in the office at the water cooler or the corporate jet you can’t really be trusted in my opinion. In general, when you can’t trust someone you don’t trust the work they do.

So don’t be a douche bag. Online or in real life. Is that really so difficult?

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