Product: Imagine there’s an e-commerce website like Amazon that was launched two years ago, and they have been selling products meanwhile collecting reviews from those who have purchased the products in terms of the 1-5 stars and the text reviews. They have decided after two years to put the reviews that we have been collecting on the website and evaluate if they will improve the sales. They designed an A/B testing in which there are 50% control group and 50% treatment group. After they ran the test, they realized that the sales had dropped. What do you think caused the sales drop even though the reviews have been provided to the treatment group? Notes: • There is no novelty effect. • Both groups are completely randomized. • User experience has been the same meaning, there is no extra effort to place an order. • Those in the treatment group who have purchased products are more statistically satisfied than those in the control group. • Users have sorting and filtering options over the reviews.
Sr Data Scientist Interview Questions
3,383 sr data scientist interview questions shared by candidates
What is your experience with different stakeholders? Questions around skills/tech listed on your resume.
1. End to end data design task including classification and anomaly detection. Focus was heavily oriented towards metric specification and detecting anomalies. 2. 5 values based questions, including one about colleague trust, another about weighing up costs when designing a data pipeline, and another about stakeholder engagement.
From basic to advanced and scenario based questions will be asked. You can expect python, ML, Stats questions.
Data Cleaning for the particular dataset
they asking about your backgrounds and questions from the most common problems on leetcode I have canceled the process at the end due to some responsibilities but it was a nice short journey
1st round: medium level data manipulation, wrangling 2nd round: probability, maths based coding, complex algorithm questions. 3rd round: Extremely vague system design. I was given computer vision based system design which I did 5 years back.
Some questions about data science concepts, from classification to PCA to NLP.
About projects which you have done in the past
Difference between lstm and bert?
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