There are a ton of different technical roles out there, and each plays a pivotal part in an engineering team’s objectives and the broader company mission. We have a huge library of tasks to help you hire for the more traditional jobs like back-end developers, front-end developers, and QA engineers, but we want to ensure you have a competitive edge for emerging and trending functions too. We’ve just added Data Science Tasks to help you hire for one of the fastest-growing, most coveted roles: Data Scientist.
Data science is a combination of business logic and programming, so data scientists’ primary objective is to extract insights and knowledge from data. We created Data Science Tasks to help you gauge candidate knowledge around data science principles as well as mimic on-the-job responsibilities. They come in the following forms:
We’ll be adding more Data Science Tasks in the months to come, focusing on easy and medium difficulty tasks so you can bolster how you hire junior to mid level data scientists. The demand for data scientists is going to skyrocket so make sure your tech hiring process is set up to vet these prized candidates in the best way possible.
Want to hear more about how you can use coding tasks to gain insights into your technical candidates?
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