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Indeed Data Scientist Interview Questions and Answers
Indeed Data Scientist Interview Experiences
2 interviews found
Anonymous
I applied via Indeed and was interviewed in Jul 2024. There was 1 interview round.
(2 Questions)
- Q1. 2 sets of SQL questions
- Q2. 1 python question
(2 Questions)
- Q1. What is p value
- Ans.
The p value is a measure used in hypothesis testing to determine the significance of the results.
The p value is the probability of obtaining results as extreme as the observed results, assuming the null hypothesis is true.
A p value of less than 0.05 is typically considered statistically significant.
A p value greater than 0.05 suggests that the results are not statistically significant.
Researchers use p values to determ...
- Q2. Calculate probability of unfair coin tossed n times and do hypothesis testing
- Ans.
Calculate probability of unfair coin tossed n times and do hypothesis testing
Calculate the theoretical probability of getting heads or tails for the unfair coin
Perform the actual coin toss n times and record the outcomes
Use hypothesis testing to determine if the coin is unfair based on the observed outcomes
(2 Questions)
- Q1. What is bagging and boosting?
- Ans.
Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models by combining multiple weak learners.
Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and then combining their predictions through averaging or voting.
Boosting involves training multiple models sequentially, where each subsequent model c...
- Q2. Question on graphs
Skills evaluated in this interview
Interview questions from similar companies
Simple mediam DSA style questions around ML
(2 Questions)
- Q1. Tell me about your projects?
- Q2. How do you approach the project if you are using logistic regression model?
- Ans.
Approach involves data preprocessing, model training, evaluation, and interpretation.
Perform data preprocessing such as handling missing values, encoding categorical variables, and scaling features.
Split the data into training and testing sets.
Train the logistic regression model on the training data.
Evaluate the model using metrics like accuracy, precision, recall, and F1 score.
Interpret the model coefficients to under...
(2 Questions)
- Q1. What are you future goals?
- Q2. What would you do if your interested field doesnt have any work in the company?
- Ans.
I would seek opportunities to apply my skills in related fields within the company.
Explore other departments or teams within the company that may have projects related to my field of interest
Offer to collaborate with colleagues in different departments to bring a new perspective to their projects
Seek out professional development opportunities to expand my skills and knowledge in related areas
Skills evaluated in this interview
Prasanna Pradhan
Build a simple cat and dog image classifier
(1 Question)
- Q1. ML related questions
(1 Question)
- Q1. Behavioural questions, basically to check if you will be fit in a team
(2 Questions)
- Q1. Basic Recommendation System Questions
- Q2. A B Testing Questions
I applied via LinkedIn and was interviewed in Sep 2020. There were 5 interview rounds.
Interview Questionnaire
1 Question
- Q1. Explain VIF
- Ans.
VIF stands for Variance Inflation Factor, a measure of multicollinearity in regression analysis.
VIF is used to detect the presence of multicollinearity in regression analysis.
It measures how much the variance of the estimated regression coefficient is increased due to multicollinearity.
A VIF value of 1 indicates no multicollinearity, while a value greater than 1 suggests increasing levels of multicollinearity.
A commonl...
Interview Preparation Tips
I applied via Company Website and was interviewed in Jan 2024. There were 2 interview rounds.
(1 Question)
- Q1. Transformer models.
Related to Mathematical intuition in Deep learning.
Questions related to basic coding were asked, and some background on projects and discussions alongside maths and statistics concepts
(1 Question)
- Q1. Questions related to projects done at my previous company
(2 Questions)
- Q1. Questions related to my work at previous company
- Q2. ML system design use case type of discussion
Interview Preparation Tips
Also practice some level of basic PyTorch stuff and specially Bert architecture (in terms of code)
I applied via Company Website and was interviewed in Dec 2024. There was 1 interview round.
Easy topics arrays, sequence sum.
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Indeed Data Scientist Interview Process
based on 2 interviews
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