I was asked technical questions like how I would organize an excel spreadsheet with thousands of lines of information based on specific requirements marketing/marketing researchers need. Also, how I would I merge the information provided from a client, and information given by Tribune Media Services about media content.
Tell me about a past data science project that you've worked on.
when can you start work
What is the assumption of error in linear regression?
The challenge had 3 parts: SQL, Experiment Design, and Machine Learning. In the SQL portion you had to write some queries to answer complicated real world questions (without any data given, just a schema). In the experiment design portion you are asked to create a hypothetical plan to answer testing a new app. In the Data Science portion, you are asked to perform binary classification on a given data set, and return insights from the classification.
Give an example of an analytical project you worked on and techniques you used. What does it mean to train a model?
Data visualization Best practices
Competency based questions testing both technical knowledge and behavioural situations
realiza un business case de abastecimiento
Can you describe a time when your data analysis directly influenced a business decision?
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