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.
"As a Data Scientist, my job is to analyze data sets and report the results. The other company stakeholders use this information to improve products, services, and processes or to make better business decisions. However, I like to look beyond the data and identify trends that are more subjective in nature. An example of this was when I was working on a project involving employee absenteeism at one of the company's manufacturing facilities. The data identified some factors contributing to the absenteeism patterns, but I sensed there was something else not indicated by our analysis. I took the initiative to informally interview a sample set of the employees and found that they had strong opinions about the food served in the cafeteria. I then added this factor to the study and confirmed that increases in absenteeism correlated with specific menu items."

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.
Data Science is a disciplined practice with little opportunity for creativity or changes. However, organizations like their employees to be able to take the initiative and innovate to improve processes, reduce costs, or increase the outcomes of the actions they take. When preparing for an interview, you should have a few stories available that demonstrate initiative and out-of-the-box thinking.

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.
"During one of my previous jobs, I was on a team that focused on customer satisfaction scores. We determined this by analyzing data involving product returns, repeat purchases, customer referrals, and text analysis. While performing this work, I noticed a correlation between customer satisfaction and a specific feature of one of our products. I knew the feature couldn't be altered, but I thought that if it was highlighted in the product documentation and suggestions for its use were emphasized, the customers would use it more often. I recommended this to the product manager who implemented my idea. The result was an increase in the use of the feature and a corresponding reduction in customer complaints."
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Written by William Swansen
30 Questions & Answers • Data Scientist

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