Tag: data science careers
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Career advise. Upgrading data science career
From time to time, people send me emails asking for career advice. Here’s one recent exchange.
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Five things I wish people knew about real-life machine learning
Deena Gergis is a data science lead at Bayer. I recently discovered Deena’s article on LinkedIn titled “Five Things I Wish I Knew About Real-Life AI.” I think that this article is a great piece of a career advice for all the current and aspiring data scientists, as well as for all the professionals who work with them. Let’ me take Deena’s headings and add my 2 cents.
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Bioinformatics career advice and a story about a Soviet shoemaker
When I was in elementary school (back in the USSR of the mid 80’s), I had a friend whose father was a shoemaker. Due to the crazy stupid way the Soviet economy worked, a Soviet shoemaker was much richer than a physician or an engineer. But this is not the story. The story is that one day this friend’s father had a chat with me about selecting a profession. This man’s point was that for as long as people have feet and need shoes on their feet, a shoemaker would be required and well-earning occupation. Guess what? People still have feet, and still, ware shoes, but I don’t see too many successful shoemakers anymore.
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Another piece of career advice
Here’s another email that I got with the question about switching to the data science career
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Career advice. A clinical pharmacist, epidemiologist, and a Ph.D. student wants to become a data scientist.
From time to time, I get emails from people who seek advice in their career paths. If I have time, I write them an extended reply and if they agree, I publish the questions and my replies here, in my blog. Here’s one such email exchange. All similar pieces of advice, as well as other rants about a career in data science, can be found here.
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Software commodities are eating interesting data science work — Yanir Seroussi
If you read my shortish post about staying employable as a data scientist, you might like a longer post by a colleague, Yanir Seroussi. In his post, Yanir lists four possible paths for a data scientist: (1) become an engineer; (2) reinvent the wheel; (3) search for niches; and (4) expand the cutting edge.
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Career advice. A research pharmacist wants to become a data scientist.
Recently, I received an email from a pharmacist who considers becoming a data scientist. Since this is not a first (or last) similar email that I receive, I think others will find this message exchange interesting.
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Staying employable and relevant as a data scientist
One common wisdom is that creative jobs are immune to becoming irrelevant. This is what Brian Solis, the author of “Lifescale” says on this matter