Practice 30 Data Scientist interview questions covering machine learning, statistical modeling, and technical problem-solving.
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William Swansen has worked in the employment assistance realm since 2007. He is an author, job search strategist, and career advisor who helps individuals worldwide and in various professions to find their ideal careers.
"While people outside of the field of Data Science believe our profession is dry and mundane, I find it fascinating. It is called 'data mining' for a reason because buried in the piles of data we examine as part of our job are nuggets of gold. These are in the form of the results we predicted and are supported by the data, as well as discoveries we didn't expect. An example of this was learning that a process improvement our organization made on its manufacturing line not only solved the problem it was meant to address but also resulted in fewer defects in the final product. When we explored this in more detail, using data analytics, we discovered that the new process helped operators detect and remediate a chronic issue earlier, thereby eliminating the need for rework. This 'ah-ha moment' is one of the perks of the job I do."

William Swansen has worked in the employment assistance realm since 2007. He is an author, job search strategist, and career advisor who helps individuals worldwide and in various professions to find their ideal careers.
An interviewer may ask this type of question to learn more about you as a person rather than simply exploring your technical skills. People hire people, and one of the main purposes of an interview, besides confirming your qualifications for the job, is to determine if you would be a good fit for the organization. This question will provide some insight into both your personality and your ability to communicate your ideas.

William Swansen has worked in the employment assistance realm since 2007. He is an author, job search strategist, and career advisor who helps individuals worldwide and in various professions to find their ideal careers.
"Being immersed in the data is one of my favorite parts of being a Data Scientist. I often discover things I didn't expect or wasn't even looking for. Once, while parsing data to determine how consumers go about shopping for a new car, I discovered that the most important criterion most people used was color. Respondents to the survey we used listed color more often than make, model, features, or even price. This enabled the organization to redesign their marketing campaign to emphasize the variety of color options available for their vehicles."
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Written by William Swansen
30 Questions & Answers • Data Scientist

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