Table of Contents
- What is data science?
- Areas from which data science interview questions are mostly asked
- How to prepare for your data science interview questions?
- Key takeaways
What is data science?
Data science entails preparing insights from big data through machine language technologies or processing data to get finer details or the results required by the organization in order to make better decisions and take the next steps. All the algorithms are handled or managed by data scientists.
Becoming a data scientist requires a lot of time, effort, and dedication. If you are moving down this path, you must be prepared to impress the interviewer with your knowledge.
Areas from which data science interview questions are mostly asked
So before getting into more details, let us discuss the most significant areas upon which the questions are framed in order to interview a candidate seeking a position in the field of data science.
- Coding And Programming
Experience with the programming language is a must for any data science job. It will show that you have the proficiency to learn other languages as and when required.
- Product Sense And Business Application
It is essential to have product knowledge while also being well-versed with its practical applications in the industry.
- Statistics and Probability
No matter what data science job you are applying for, statistics and probability act as pillars. You must, therefore, know how this knowledge would help and add value to a company.
- Data modeling technique
You will be asked about the different methods of data modeling techniques.
- Data Scientist Job Roles
Data science is a multidisciplinary field and encompasses several roles and responsibilities. You must have in-depth knowledge about the vertical in which you want to build your career.
Here is the list of roles that you can take up to build a strong and lucrative career.
- Data Scientist
- Data Engineer
- Business Analyst
- Data Analyst
- Data Architect
- Machine learning Engineer
- Data Science Project Manager
The more you know about the job you are applying for, the better you will be able to prepare for the interview. You can also research various Data Scientist Jobs descriptions to speak up in front of the interviewer.
How to prepare for your data science interview questions?
Before the interview, you must keep these things in mind-
Research for the role and identify your fit
Read the entire job description and look out for the exact fit for yourself. Also, consider what roles and responsibilities you will be assigned or be in charge of. With a clear idea, you can predict the questions and the topics covered in the interview.
Getting an exact idea of what an interviewer is looking for
Sometimes an interviewer is looking for a hard, technically skilled person to start right away, whereas others are looking for soft skills and critical thinkers so that they know they can train them on specific tools.
Tell them your ideas even if you don’t know how to execute them. These can show that you have strong critical thinking ability and a knack for providing innovative solutions to diverse problems.
Be honest about your technical skills.
Of course, you want to present yourself well in front of the interviewer but never lie about or overly embellish your technical or software skills. Avoid blindly saying yes to anything. For example, if the interviewer asks about regression and you are unfamiliar with the term, then you won’t be able to answer about linear regression.
Ask them about the team you will be working with
Surrounding yourself with people who can motivate you and help you grow is important. So, ask them about the team you will be working with and your supervisors. Because finding a work environment or the right people who will push your boundaries, and challenge you in every step is very important to grow in your career.
Identify your exact role and ask questions about your role
Do not hesitate to ask any questions that you may have with regards to the job position that you are applying for. It shows that you are responsible, how keenly you have researched the company, and how excited you are to join them.
You can ask questions like-
- What would a typical day at work look like?
- Is this a new position, or will I be replacing someone for this role?
- How long is the training period?
- What are the qualities you are looking for in an applicant?
- Data science is a booming field and is continually gaining popularity as a potential career choice among students.
- It introduces you to several diverse and promising job opportunities.
- However, to make the most out of data science as a career option, you need to prepare yourself well, whether it is in terms of qualifications, identifying the job prospects, or preparing right for the interview.
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Liked this blog? Read: Everything You Need To Know About Studying Data Science
Q1. Which are the most commonly asked questions in a data science interview?
Answer – The data science interview questions may vary from company to company. However, here are some of the most typical questions you can expect –
- What do you understand by the term Data Science?
- Are data analytics and data science one and the same?
- Explain what sampling is and the techniques used for the same.
- What are Eigenvectors and Eigenvalues?
- Do you know what a selection bias is?
Q2. Is a data science interview very hard to crack?
Answer – Data science is certainly a challenging field to excel in. However, with the right preparation and dedication, you can surely crack it.