Associate Data Scientist Interview Questions

500 associate data scientist interview questions shared by candidates

1st round online coding: python questions were easy. SQL questions though lengthy, were also easy. 2nd round Technical: Qns: 1) Explain projects briefly as mentioned in resume 2) Linear regression? Can we use classification with linear regression 3) Logistic regression, threshold score, ROC AUC curve, imbalanced classification 3) Clustering? Hierarchical , K-Means difference and explain 4) Random-forest, decision tree explain 5) Data analysis using pandas 6) Gave a problem case study and asked me to explain the steps taken: build hypothesis, what will be the impact 3rd round Technical: 1) Take one project and explain approach taken to solve in detail: business problem, data sources, pre-processing steps , feature engineering, algorithm used, evaluation metric 2) Random forest explain 3) different evaluation metrics used for classification - precision, recall 4th round HR general background check challenges faced and how did you resolve accomplishments in work
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Associate Data Scientist

Interviewed at MathCo

3.9
Nov 6, 2020

1st round online coding: python questions were easy. SQL questions though lengthy, were also easy. 2nd round Technical: Qns: 1) Explain projects briefly as mentioned in resume 2) Linear regression? Can we use classification with linear regression 3) Logistic regression, threshold score, ROC AUC curve, imbalanced classification 3) Clustering? Hierarchical , K-Means difference and explain 4) Random-forest, decision tree explain 5) Data analysis using pandas 6) Gave a problem case study and asked me to explain the steps taken: build hypothesis, what will be the impact 3rd round Technical: 1) Take one project and explain approach taken to solve in detail: business problem, data sources, pre-processing steps , feature engineering, algorithm used, evaluation metric 2) Random forest explain 3) different evaluation metrics used for classification - precision, recall 4th round HR general background check challenges faced and how did you resolve accomplishments in work

1. Complete project Description 2. Describe Naive Bayes classifier 3. Case study( A person salary dataset and different campaign dataset, Predict whether he will buy the product or not) What all features will you generate from the dataset?
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Associate Data Scientist

Interviewed at ZS Associates

3.5
Nov 2, 2019

1. Complete project Description 2. Describe Naive Bayes classifier 3. Case study( A person salary dataset and different campaign dataset, Predict whether he will buy the product or not) What all features will you generate from the dataset?

The online screening is bit challenging covering from basic Data Science to Agentic AI concepts and two coding challenges Second was a case study was asked to make an AI application with open source LLM endpoints Third was supposed to be a tech interview on the case study but interviewer asked a seperate concept all to gether Confused and unfortunate experiene
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Senior Associate - Data Scientist, AI & Analytics

Interviewed at Publicis Sapient

3.4
May 26, 2026

The online screening is bit challenging covering from basic Data Science to Agentic AI concepts and two coding challenges Second was a case study was asked to make an AI application with open source LLM endpoints Third was supposed to be a tech interview on the case study but interviewer asked a seperate concept all to gether Confused and unfortunate experiene

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