25 Data Scientist Interview Questions & Answers

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Here’s the FULL LIST of DATA SCIENTIST INTERVIEW QUESTIONS AND ANSWERS:

Q1. Tell me about yourself?

SUGGESTED ANSWER:

“I’ve been a Data Scientist for a number of years now and I have worked in a variety of different organizations where my skills and my experience has been tested to the full.
I have solid programming skills, outstanding data wrangling and visualization capabilities, and excellent communication qualities that allow me to accurately communicate my findings and suggest solutions to often complex problems. Outside of work, I spend time with my family and I also spend a decent amount of time dedicated to my own continuous improvement and development. This is essential for ensuring I stay at the top of my game as a Data Scientist, especially when things are constantly changing and evolving. After researching your organization in detail, this is a place I feel confident I can add value to your already established team in the role of Data Scientist and I am looking forward to the challenge that hopefully lies ahead.”

Q2. Why do you want to work for us as a Data Scientist?

SUGGESTED ANSWER

“The role of a Data Scientist is one that requires total support from your employer. It’s a challenging role that, in my opinion, is best placed in an organization that both sees the value of data science, and that understands how it can positively impact on not only the commercial and financial goals of the organization, but to also improve end-user experience. I carried out lots of research into your organization before submitting my resume, and I also spoke to a few people who have worked here before. Nothing put me off from applying and I see this as a place I will be able to fully utilize the skills and experience I have whilst helping my team and the organization advance further and increase market share as the years progress.”

Q3. Explain to me in simple terms how data science works?
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Q4. What are your strengths and weaknesses?
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Q5. Lots of users are filling in an online form but then not submitting it. What could the problem be, and how would you use data to establish the exact cause?
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Q6. Talk me through the different steps you would follow when starting a data science project?
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Q7. What is the selection bias in data science?
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Q8. What is LASSO regularization?
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Q9. Tell me a difficult challenge you recently had to overcome?
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Q10. What would you consider when describing something technical to a non-technical person?
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Q11. How would you resolve conflict in a team?
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Q12. What do you like and dislike the most about being a Data Scientist?
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Q13. What is the bias-variance tradeoff?
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Q14. How do you handle tight deadlines whilst working as a Data Scientist?
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Q15. Explain the difference between supervised and unsupervised machine learning?
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Q16. How do you see future technology advances impacting on your job?
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Q17. What is Decision Tree algorithm?
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Q18. Tell me a time when you found a solution to a difficult problem?
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Q19. Tell me a time when you were adaptable in a work-related situation?
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Q20. Tell me how you’d deal with a client or an internal manager who pushed back on your data science recommendations?
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Q21. Why do you want to leave your job?
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Q22. Why should we hire you?
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Q23. Where do you see yourself in 5 years' time?
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Q24. What are your salary expectations in this Data Scientist role?
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Q25. That’s the end of your Data Scientist interview. Do you have questions for the panel?
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Data Scientist Job Description and Responsibilities


The role of a Data Scientist is crucial in high-performing organizations and it is one that requires a unique set of skills and attributes. If you have exceptional analytical and problem-solving skills, and you can communicate with clarity and purpose, you may have what it takes to become a Data Scientist with one of the world’s top-paying organizations.

DATA SCIENTIST MAIN DUTIES & RESPONSIBILITIES

  • Analyze important data and information to create solutions to organizational problems and increase revenue/profitability;
  • Process a large amount of structured and unstructured data;
  • Assist in the development of algorithms and monitor their performance;
  • Respond to organizational issues and use data to solve them;
  • Help to create predictable models that automate systems;
  • Present information to company managers and directors that will help them to make important commercial decisions;
  • Work alongside and collaborate with engineers, web developers and other important tech roles to improve performance and overcome business challenges;
  • Use data science to present solutions to problems and also help the organization improve service efficiency and effectiveness;
  • Take responsibility for your own professional development and competence in the role of Data Scientist;
  • Carry out important data collection processes and build suitable models that overcome business challenges;
  • Any other duties that are deemed to fall within the Data Science remit.

DATA SCIENTIST INTERVIEW TIPS – HOW TO PASS A DATA SCIENTIST INTERVIEW

If you have a Data Scientist job interview coming up soon with any organization, make sure you read the following 4 important tips. They are guaranteed to make a big difference to your performance, and they’ll help you to LAND THAT JOB!

DATA SCIENTIST INTERVIEW TIP #1

It is crucial you prepare answers to motivational, technical and behavioral interview questions. Motivational questions include, tell me about yourself, where do you see yourself in five years, why did you leave your last job and what are your salary expectations? These common Data Scientist interview questions are ‘quick wins’ and they allow you gain confidence when answering the tougher, more technical-related questions that will undoubtedly follow.

DATA SCIENTIST INTERVIEW TIP #2

Of course, there are so many technical questions the interviewer could ask you, but the ones we strongly recommend you prepare for include those that assess your understanding of data science, how an algorithm works, your understanding of selection bias and regularization, and what you will do in difficult situations that require a deep dive into data analysis and problem solving.

DATA SCIENTIST INTERVIEW TIP #3

A common question people ask in the build-up to their data scientist interview is: What questions will I get asked? To help you, we have conducted extensive research and the list of 25 questions featured on this page are the ones we believe are likely to come up during your interview. Male sure you prepare answers to all of them!

DATA SCIENTIST INTERVIEW TIP #4

At the end of your Data Scientist interview, you will have the opportunity to ask the hiring manager some questions of your own. Whilst you do have the option to think of some questions yourself, here is a list of 4 great questions that will impress the interviewer:

QUESTION – What would you need me to concentrate on in this role within the first 30 days or so of commencing work?

QUESTION – What, if anything, has disappointed you about Data Scientists who have worked here previously?

QUESTION – Do you see the role of data science having a greater influence on how you create and develop products and services as the years go by?

QUESTION – What are the short and long terms goals of the organization and how could I help you to achieve those as a Data Scientist?

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Interview Question 12

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