There have been consistent developments in the field of information and technology in recent years and due to that, the demand for information researchers like data scientists is increasing in the realms of Big Data and AI.
The data scientists with the specialized abilities to take care of complex data science issues using segments from both the IT and business universes are well recruited by the huge AI companies these days.
The increasing demand for data scientists has made many individuals interested in building a successful career in the data science field.
If you are also one of them and looking forward to securing a well-reputed position in an AI company as a data scientist then here we have assembled a portion of the top data science interview inquiries to assist you with preparing for your upcoming interview in the company:
1. Introduce yourself
So the very first inquiry “tell me about yourself” or “please introduce yourself” is the most often asked question of every interview.
No matter what kind of interview you are attending or what job position you are getting interviewed for, this question will always be your first inquiry and you have to answer this very impressively.
Through this question, the questioner is searching for your pertinent foundation and professional training, just like any one-of-a-kind abilities you bring to this position and the company.
Keep your introduction as brief and relevant as possible because you must not want to bore your employer with your long paragraph introduction.
You can also use your previous job experiences or the qualities that you possess and which makes you stand out from other competitors.
2. What propels you for this job position?
This is a kind of behavioural question which the interviewer is asking with the ultimate purpose to know about your interest and motivation behind applying for this job position.
He is attempting to discover what got you keen on becoming a data scientist or enter this field.
You can answer this inquiry by recalling why you chose to seek after this field in any case. You can tell them your inspiration behind choosing this career field or what you most love about being a data scientist.
Also, make sure that your answer is reliable and not a fake one.
3. What would you be able to bring to this job that you’re sure others can’t?
This is another often asked question which you will encounter in every job interview regardless of the role or company you are interviewing for.
Through this inquiry, the questioner is attempting to learn about how or in what way you are unique or different from the other candidates or what makes you stand out from your competitors.
Even if you don’t feel comfortable bragging you still have to answer this inquiry by telling your interviewer about your achievements and your best selling points.
4. What obstacles or challenges have you survived or overcome?
Your achievements and successes can be the best selling points of yours. It will let the interviewer know what a valuable asset you can be to the company or what value you can add up to the company’s reputation.
Through this question, the questioner might be posing this inquiry to know about your past work experiences and the challenges you overcome at your prior job.
You can answer this inquiry using the STAR method technique and demonstrate any prior situation or challenge you faced at your previous job experience and what were the outcomes of your actions.
5. Which data scientists do you respect most and why?
Your interviewer must want to know that how much information you have concerning the field of career you are into or how updated you are with the knowledge of data science.
Through an inquiry like this, the questioner is ensuring you’re fully informed regarding industry titans yet, in addition, needs to see which top data scientists are your inspiration and why.
While there is no single right answer, it’s great to ponder a portion of the pioneers you watch or admire and what drives you to do as such. Some top-quality pioneers include Geoff Hinton, Yann LeCun, Yoshua Bengio, Jake Porway from DataKind, DJ Patil, First US Chief Data Scientist.
6. What is root cause analysis?
It is quite obvious, that after questioning yourself, your achievements, your motivation, etc you will be asked some data science-related questions to know about your knowledge.
In your interview, there will be numerous specialized inquiries explicitly identified with data science and data analysis. So it’s imperative to catch up on fundamental points and keep yourself updated with all the knowledge regarding data science and data analysis already to be ready for basic inquiries.
7. Clarify what resampling strategies are and why they’re valuable.
This will be another most often asked data science interview question which you will encounter in your most interviews, as I already mentioned in the previous inquiry, that the questioner will ask you some inquiries related to your job position.
To answer this question, you have to give explicit and functional instances of how you may analyze information or how you will use the resampling strategies to analyze data.
8. What is selection bias, for what reason is it significant, and how might you keep away from it?
This is another often asked inquiry question in an interview for the role of a data scientist. Through this question that questioner will check your overall knowledge about the subject and also your closely-held opinions about it.
You can answer this question by first telling them what you know about the selection bias and then after you can add your personal opinions about in what way is it important and how you think you can avoid it.
9. What are the assumptions needed for linear regression?
As the role of data scientist will be related to the business and IT so you will have numerous inquiries that explicitly address the more technical areas of the position. Through this question, the interviewer will study your professional skills and how much you are competent for the job.
10. Do you have questions?
This is another question that will be asked at the end of the interview to offer you the opportunity to clear your doubts or ask any inquiries you have concerning the job position or the company. Through this question, the interviewer examines your confidence and sees how much you are involved with the job position you are getting interviewed for.