Dunnhumby Data Scientist Interview Questions and Answers for Experienced

Statistics based questions

Basic case study any topic

Easy to solve if you have basic mathematics understanding.

They will test your presence of mind and thinking.

Along with coding round..there's a communication test at the end

Q1. There's ntg to ask about technical for me..
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Q2. Behavioural questions
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Maths and probability

Q1. Why this position ?
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Current affairs and AI

Q1. Explain the RAG pipeline?
Ans. 
RAG pipeline is a data processing pipeline used in data science to categorize data into Red, Amber, and Green based on certain criteria.
• RAG stands for Red, Amber, Green which are used to categorize data based on certain criteria

• Red category typically represents data that needs immediate attention or action

• Amber category represents data that requires monitoring or further investigation

• Green category represents data that...read more
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Q2. Explain Confusion metrics
Ans. 
Confusion metrics are used to evaluate the performance of a classification model by comparing predicted values with actual values.
• Confusion matrix is a table that describes the performance of a classification model.

• It consists of four different metrics: True Positive, True Negative, False Positive, and False Negative.

• These metrics are used to calculate other evaluation metrics like accuracy, precision, recall, and F1 s...read more
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Its average easy round

Q1. Scenario based questions
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Q2. Video synthesis
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