ML Case

Let's say you have a dataset of clients who bought or didn't buy a certain software. How would you make a prediction for future clients? What would be some things you'd want to include in this dataset?

Data Scientist

Asana

Microsoft

New Relic

Zendesk

Okta

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Behavioral
  • Let's say you have a dataset of clients who bought or didn't buy a certain software. How would you make a prediction for future clients? What would be some things you'd want to include in this dataset?
  • As someone with experience analyzing client buying habits, how would you go about forecasting whether potential clients will purchase a specific software? Which factors would you take into account?
  • Let's talk about your predictive modeling approach when it comes to determining whether future customers will buy a particular software. What variables and insights would make up your dataset?
  • What is your strategy for predicting whether clients will buy a new software? What particular characteristics or behaviors would you want to include in your dataset in order to make accurate predictions?
  • As a data analyst, how would you approach predicting whether a client will purchase a specific software? Can you outline some key features of the dataset that you would need to create to do so?
  • Considering your experience with data analysis and client buying behaviors, can you walk me through how you would make predictions around whether future clients would purchase a certain software? What pieces of information would be important to include in your dataset?
  • How do you typically predict if a client will purchase a certain software? What information do you need to include in your dataset and how do you ensure that you are generating accurate results?
  • What would be your process for forecasting whether potential clients would buy a specific software? What types of data points would you want to include in your dataset to accurately predict their behavior?
  • Given a dataset of clients who either purchased or did not purchase a certain software, how would you use the information to predict whether future clients would buy the same software? What factors would you prioritize in your dataset?
  • As a data analyst, how would you create a predictive model for determining whether future clients would purchase a specific software? What key pieces of information need to be included in the dataset to develop a solid prediction model?
  • Can you walk me through your process for predicting whether future clients will purchase a particular software? What kind of data would be essential to include in your dataset?

Interview question asked to Data Scientists interviewing at Microsoft, Okta, Zendesk and others: Let's say you have a dataset of clients who bought or didn't buy a certain software. How would you make a prediction for future clients? What would be some things you'd want to include in this dataset?.