6 Ways To Follow Up After A Data Science Job Interview

Landing a job in the data science domain is not an easy task — it’s not just the knowledge and skills that you need, but you also have to make sure that you give your best when you go for an interview. However, even the interview phases isn’t that easy, especially when the interview goes well, and the HR says s/he will get back to you.

In order to help candidates land a job in the data science sector, we have written a series of articles. However, this time we are focusing on another aspect which is the post-interview phase. In this article, we are going to give you some effective tips that you need to keep in mind when you are done with your data science interview and are waiting for the company to get back to you.

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Get Contacts

It is one of the most important things to do when you are about to leave after an interview. However, you might be wondering as to whether it is appropriate to ask for it. Well, when it’s about that dream job, there is no harm in giving it a try. 

Having said that, assess your situation. Do you think you did well in the interview? If you think you did, then subtly ask them if they know when they would be making the hiring decisions, and if they can provide you with their business card or email address so you can check in with them. 

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Word to the wise: If they don’t provide you with their contact, then there might be multiple reasons — starting from you not performing well in the interview to their privacy policy. Do not be pushy, it is probably best to pass and leave with a thank you. 

Know When To Send Your First Follow-Up Email

Once you come back from your interview you might feel restless for some time thinking about what the results and you would even feel like sending an email right away — don’t do that. It is not a good practice. If you want to follow up, follow the general rule — two or three days is a good amount of time to wait before sending your first follow-up email. 

Send Personalised Emails

The reason behind getting contacts of all the interviews is that you can send emails to each one of them. However, keep in mind when you are sending that follow-up emails — don’t send the same email to everyone.

When a company is hiring for the data science domain, then it is obvious that someone from the data science domain would be involved in the process. The domain is so vast that only HR cannot take the complete decision. Therefore, make sure you send the emails based on the conversation you had with each interviewer.

If you are sending an email to someone from the data science department, do not forget to ask if they need any more details to check on such as your previous projects or the independent data science projects you have done so far.

Know When To Call

This point has a strong connection with the first one. When you ask for contacts, they might even provide you with their phone numbers; however, you should call that person at random hours. Therefore, if as good practice ask them when the good time is to have a conversation on the phone if you want to check with them.

Be Prepared With Your Research Outputs

When you are done sending your follow-up emails and you have got the responses as well, do not just wait, rather spend your time doing industry research such as salary. The salary discussion is one of the most crucial aspects in the hiring phase — sometimes people end up losing their opportunities by asking a salary that is not relevant to their job role or their experience.

So, make sure you do your research well on how the industry is paying its data scientist and on what basis the paycheck is decided. When you have strong points, you can have a more relevant as well as a strong salary discussion.

Be Transparent

This is one of the most common things the people who are looking for a job done. If you have gone for multiple data science job interviews and manage to land a job, then make sure you let your other potential employers know by sending emails to the contacts you got during your interview. You may be thinking, why do you have to do so. But it is not just a good practice to keep the transparency of the whole scenario, but it also helps you get a better opportunity.

If you are wondering how? If you land a job before one of your potential employers could decide on you, they might reconsider and give you an opportunity, and this might also lead you to get that paycheck you asked for. 

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by Vijayalakshmi Anandan

The Deep Learning Curve is a technology-based podcast hosted by Vijayalakshmi Anandan - Video Presenter and Podcaster at Analytics India Magazine. This podcast is the narrator's journey of curiosity and discovery in the world of technology.

Harshajit Sarmah
Harshajit is a writer / blogger / vlogger. A passionate music lover whose talents range from dance to video making to cooking. Football runs in his blood. Like literally! He is also a self-proclaimed technician and likes repairing and fixing stuff. When he is not writing or making videos, you can find him reading books/blogs or watching videos that motivate him or teaches him new things.

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