Here are 10 examples of in-depth questions: They may want to gauge your level of expertise in this field. Interviewers can ask in-depth questions to test your data science knowledge. Related: Using and Improving Data Science Skills 10 in-depth questions Have you ever worked with sensitive information? If so, how did you handle it? How do you use your results to improve the customer experience? List some of the sampling techniques you use.

What metrics do you use to evaluate a business' performance? How do you decide between two comparable models in terms of performance and accuracy? How do you handle a data set missing several variables? What's your greatest achievement as a data scientist? How do you explain technical aspects of your results to colleagues with a nontechnical What are the essential skills and attributes that a data scientist needs?ĭo you have experience working on a data science project with an extensive programming component? Interviewers ask these types of questions to understand your previous work experiences and assess your skill level. Related: 16 Data Science Programs You Can Pursue To Earn a Degree 10 questions about experience and background Why are you the most suitable candidate for this role? Tell me about your hobbies or interests outside data science. What are your strengths and weaknesses as a data scientist?ĭo you prefer to work in a team or work alone? Why did you decide to become a data scientist? Interviewers ask general data science interview questions to learn about your personality, work ethic and career goals. In this article, we provide 37 data science interview questions, including several sample answers you can review to prepare for your interview.

Learning the questions interviewers may ask during a data science interview can help you prepare answers that show them you're qualified for the role. Employers in various industries need professionals with data science experience and skills in statistics, data analysis, machine learning and other related fields. Data science is one of the fastest-growing fields of study in technology and uses multiple methods of extracting structured and unstructured data to draw relevant conclusions.

Basic data science internship question