Category: Applied Data Science

Why do we pay Technical Recruiters?

As a person with a hand in the tech world – whether on the hiring or working side – you’ll know firsthand that tech recruitment is a terribly complex field. Tech recruiters are undoubtedly driven and talented people who apply a variety of skills each day in an attempt to achieve the best result for …

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AI in Recruitment: Friend or Foe?

An amplification of our shared human intelligence, AI is changing the world around us and helping our civilization to flourish in new ways. But it isn’t without risk. Used improperly, AI can become a wildly destructive force. Take the use of AI in recruitment: used unthinkingly it can reinforce the bias it was built to …

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How to Get a Job Using Data Science

Many companies struggle with tech recruitment and we know it’s becoming an issue for you to find the perfect job. In fact, research from the Manpower Group shows that companies around the world find tech positions are the second-most difficult roles to fill. This is problematic and it means that talent shortages are now at …

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Code Pilot Manifesto

Hiring Science A boring bit about me, my name is Scott Fletcher, and I am one of the founders of Code Pilot. I am fundamentally a systems and a problems person. Systems that give the desired outcome with a minimum of fuss. I enjoy systems that are streamlined and make sense. I really enjoy solving …

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Char2vec – Character embeddings for word similarity

Most of my applied data science work is in text heavy domains where the objects are small, there isn’t a clear “vocabulary”, and most of the tasks focus on similarity. My go to tool is almost always cosine similarity, although other metrics such as Levenshtein or character n-grams also feature heavily. The reason these tools are …

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