How to Hire Data Scientist?

1. How to Hire Data Scientist? Data scientists are becoming the key engineers to utilize the big data for AI and machine learning. And hiring a good data scientist is a challenging task especially if you need such highly skilled professionals for developing the advance technology backed system that requires deep understandings of such fields and can utilize the resources efficiently. Five Steps How Companies Hire Data Scientists #1 Get the Applications from Multiple Sources Hiring such highly skilled professionals is not a single day job, you need to start the hiring process in advance or you should have enough time to allow multiple applications apply for this job from various locations and different fields or companies. Here your company can encourage the employees to attend the industry events, seminars, social events and business meetings where they can meet and interact with others who are looking to work with your company or seeking career into such fields. #2 Detailed Pre-Screening to Filter Candidates When you decide to hire someone, and know what is the exact requirements for the candidate you post the same as a job description on job listing websites. But still there are few people ignore the same or properly not check the actual requirements and come of the interview. Hence, there should be a proper questionnaire to know the qualification and motivation of the candidate. As such simple self-assessment test helps to filter the candidates who ignored the actual requirements listed for this particular profile. #3 A Well-organized Round of Technical Test Candidates successfully cleared self-assessment and motivation test, are invited for perform next level of challenge containing the trailer of actual work in machine learning as a service that they are expected to perform during their duty hours if they

2. got appointed. This takes the form as mini challenge performed by the candidates via remotely. Such challenge are suitable for entry-level data scientist position and candidate will have to face this challenge and clear the second stage to move to next stage of recruitment process. And during the whole process, transparency is important. Candidates who clear to move next stage are also informed how many candidates are still left and how many will get through. #4 Organize a Face-to-Face Personal Interview The personal interview process should be organized professionally that should last long up to 2 hours while trying to finding out the different skills in the candidates like Knowledge, Reasoning, Passion and Communication that represents their various aspects. Knowledge skill is important to know whether candidate know the stuff that is required to perform such tasks. Reasoning is another skill helps to know a candidate can solve the puzzles he doesn’t know in advance. Communication skill is also important for a candidate to communicate the complex ideas clearly to others and the last one passion is important for such candidates so that they can enjoy while working into the field he is applying for the job. #5 Selection and Appointment of the Candidate Finally, the last stage comes where you will select and appoint the right hire data scientist from the few top candidates who have cleared all the tests levels. Here, you should have top three best candidates who are different from all the rest. Go through first with top candidates and make sure they are ready to join if they got selected. You should also assume all the candidates interviewed in various other companies at the same time, instead believing that you are “picking” a candidate to join which is a kind of two way process.