How to Prepare for Data Science Interview

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Shivangi Gupta
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Landing for the data science interview is excellent – but to come off with flying colors? 

Interviews can be damn scary, starting from preparing a portfolio to completing technical screens to going through rigorous sessions; interview preparation has come into the spotlight. They are a prominent deal for everyone. Ambiguity, randomness, and rational errors make an interview slam spine-chilling. You are almost on the edge of rumpling it all up.

Candidates are often put in the grill as companies try to ascertain whether they have the skills, technological chops, and appropriate approach to join their data science and machine learning roles. The first set of these requirements can be met quite easily. But it will take dedicated effort and even a few messed-up interviews before ultimately landing your dream job.

When we talk about preparation for a data science interview, a few questions arise in our mind: what does preparation mean? What kind of preparation should one do to qualify for the interview?

This article aims to list a structure to help to crack the data science interviews. Prepare for the big day by following this framework.

The process begins from the phase when you start searching for the different job roles that intrigue you. It goes on till the end of one-to-one-person interviews. There is a general structure. You may not experience all the steps in your interview drive.

Learn about the different job roles, abilities, and interviews

The vital thing you should know is that there are several jobs in the data science environment. A standard data science program has a life process that is a blend of many operations. For a successful data science program, there are many things involved. A data scientist is just an element of it. The next move is to check the skills demanded in the job roles. 

Identify the proper role for yourself. Give time to know the differences between these job roles choose the segment of skills that matches your skills/interest. Even if the interview pattern is similar, the outlook of the recruiter switches, counting on the job role you prefer.

Preparing for Interviews 

According to a report, more than 80% of recruiters admitted that they cross-check a candidate’s LinkedIn profile with the CV they have received before inviting them for an interview. Depending on a one or two-page resume in the era of the digital revolution is not just sufficient. The recruiting enterprise wants confirmation to back up the assert in the resume.

  • One should have a digital profile

It should be optimized and updated according to the job role the individual is applying for. Displaying a non-technical experience while applying for a technical job role will give a negative impression.

  • Go to the conferences and meet-ups

Strengthen your esteem in the data science field by auditing events. 

The opportunities are limitless. You need to choose the platform depending on the job roles you want to go for.

It takes persistence and dedication to build the network. This will take away the stress during the whole process.

Prepare your CV and Start Applying

One can thoroughly study and upskill upon data science courses. But what about formulating the ideal resume? That is a different task altogether. Every recruiter has its standards for assessing applicants.

Once you are done with preparing the resume, increase your search for a job. Build your network; online job portals are not the only source to apply for data science roles as we have stepped into the digital era. So try to be more creative, give some time to grow your network. 

Telephonic Screening

This can be a telephonic call or a virtual call – keep the answers ready to the most basic questions. One should be prepared with the general pointers and get it from there since it is the first interaction with the interviewer. It should be impressive.

Attend this session as sincerely as all the other steps. An easy-going attitude is enough to give a negative impression on the recruiter and also make sure to minimize disturbances in the place where you will be attending the call.

This is an opportunity to learn more about the job role, the company, and your place within that environment. Do not just adhere to the old questions. Exhibit your interest and dedication to the job role.

Going through the assigned tasks

Now, not all companies have this round. It differs from project to project and role to role. But it is better to be prepared.

You can expect to face one of the following types of tasks:

You will be given a query statement and asked to answer the challenge. You can take the assignment at home and can have a time limit of a few days. Often, this is combined into one-to-one-person interview sessions. 

You might be said to spend anywhere for around two-seven hours on the given task. Basically, these tasks ensure you have the abilities you assert on the resume. The assignment submission could be in the form of a presentation or submission on self-evaluation media.

In-Person Interaction

You have checked data scientist eligibility for the job, formulated a bracing and exquisite resume, applied, and successfully passed the telephonic and task session. Now finally comes the most awaited moment-it is time for the one-to-one interaction. Stay calm and rock the interview. You can expect to have several rounds and different formats of interactions. You will address with many people during these sessions. The various individuals you might communicate with:

  • Hiring manager
  • Project manager
  • HR person
  • Other stakeholders

The assignment round we had in the previous phase could also be a judging factor into this stage. You will be assessed on your structured reasoning, rational reasoning and analytical, programming skills, machine learning methods, apart from these things. They might ask you to pen down SQL queries or deliver your perception – make up your mind for all the things.

Asking queries is a symbol of interest and curiosity in the role. You can ask the recruiter about their experience in the enterprise.

The one-to-one interview sessions can be exhausting. Preparing your mind for every question/task is as crucial as the foundation. Persistence is a key, and a data science expert is anticipated to possess receptacle parts of it.

After-Interview tip

Despite how you handled the interview, you should not be unprofessional at this stage. Finally, you have done the one-to-one-person interviews. It would help if you led up with a greeting note. Also, ensure you value any pledge you might give to them. The data science community is still not developed, and your prominence will lead you. Do not do anything which wrecks your possibilities of getting another interview chance in the upcoming time. You have done the hard work. Finally, it’s time to bring that dream job to your place.

Conclusion

To step up your career prospects in the field, join the online classes for data science today! I hope this helped you get started with your data science interview preparation. Do not stress if you are unable to clear a data science interview for the very first attempt. Just give your best shot. Many opportunities are opening up in the data science industry, and you can start learning with data science online classes. You will land your dream job in the top data science companies.

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