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Tips for Hiring Data Scientists

Posted by Phil on Oct 21, 2016 11:12:52 AM

Data Science is a special field where talent matters much more than the availability of tools and techniques. Thus, it is extremely important to know how to hire data scientists wisely.

Here are some useful tips to help you choose the best data scientists from the available talent-pool.

Identify Your Goals and Expectations

Data Science is a broad field where subject knowledge matters a lot. Thus, it is necessary to first understand the requirements of your company and identify your expectations from a data scientist.

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Data scientists can be broadly classified into two categories. One group is concerned with the producing analytics or humans while other for machines. Both qualify for Data Scientist but possess a different set of skills and capabilities. Another important aspect that must not be ignored is the technical backgrounds of the candidates while hiring them as data scientists.

Look for Talent Rather Than Technical Skills

Talent is an inherent characteristic of an individual that cannot be developed by training sessions. However, it is easier to train a talented data scientist to learn skills that are required to into your company. The working environment for a data scientistis dynamic. So, it makes more sense to have a talented data scientist rather than someone whose expertise is limited.

Select From a Broad Pool of Candidates 

 While looking for the best data scientist, it is important to interview several candidates, so as to find the right one. This gives you the opportunity of having a diverse range of candidates and helps you make a focused and well-planned choice.

 “Top Quora data science writers give their advice on pursuing a career in the field, approaching interviews, and selecting appropriate technologies
William Chen, Data Scientist at Quora. How Can I Become A Data Scientist? 
Start by learning scikit-learn, playing around, reading through tutorials and forums at Data Science London + Scikit-learn for a simple, synthetic, binary classification task. Next, play around some more and check out the tutorials for Titanic: Machine Learning from Disaster with a slightly more complicated binary classification task” (with categorical variables, missing values, etc.)source: http://www.kdnuggets.com

Conclusion:
Choosing a Data Scientist who best fits into the requirements of your company is critical to get the desired results in quick time. You can keep the above tips in mind and even seek some references from business associates.

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Topics: Data Science