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Google Data Scientist Interview Questions and Answers
Google Data Scientist Interview Experiences
6 interviews found
I applied via Recruitment Consulltant and was interviewed in Oct 2024. There was 1 interview round.
(1 Question)
- Q1. How to ensure scalability
I applied via LinkedIn and was interviewed in Aug 2024. There was 1 interview round.
(1 Question)
- Q1. Tell me about your project
- Ans.
Developed a machine learning model to predict customer churn for a telecom company
Used Python and scikit-learn for data preprocessing and model building
Performed feature engineering to improve model performance
Evaluated model using metrics like accuracy, precision, and recall
Implemented the model in a production environment for real-time predictions
45 mins.
questions based on basic string manipulation but not a straightforward task
What people are saying about Google
(1 Question)
- Q1. Mostly related to Projects and JD
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Google interview questions for designations
2 DSA Codes were there with python
(1 Question)
- Q1. Explain your project
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Selected
I applied via Company Website and was interviewed before Sep 2022. There were 2 interview rounds.
It was very stressful
(2 Questions)
- Q1. What will you do for the company in next 5 years
- Ans. Continuing and developing skills and knoweldge in order to be able to take on more responsiblity within the company
- Q2. Why should we hire you ?
- Ans. Because of my relevant skills and passion for this carrer
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Selected
I applied via LinkedIn and was interviewed before Apr 2023. There was 1 interview round.
(1 Question)
- Q1. How does fbpropher forecasting model works and how is can be used to forecsst trafffic
- Ans.
fbprophet is a forecasting model developed by Facebook that uses time series data to make predictions.
fbprophet is an open-source forecasting tool developed by Facebook's Core Data Science team.
It is based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects.
fbprophet can be used to forecast traffic by providing historical data on traffic patterns and usi...
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I applied via Approached by Company and was interviewed in Aug 2023. There was 1 interview round.
(1 Question)
- Q1. How can Logistic regression be applied for multiclasstext classification
- Ans.
Logistic regression can be applied for multiclasstext classification by using one-vs-rest or softmax approach.
One-vs-rest approach: Train a binary logistic regression model for each class, treating it as the positive class and the rest as the negative class.
Softmax approach: Use the softmax function to transform the output of the logistic regression into probabilities for each class.
Evaluate the model using appropriate...
Skills evaluated in this interview
Data Scientist Interview Questions & Answers
Automatic Data Processing (ADP)
Anonymous
posted on 21 Oct 2022
I applied via Approached by Company and was interviewed in Sep 2022. There were 3 interview rounds.
(1 Question)
- Q1. Basic DS question like how to handle missing features
(1 Question)
- Q1. Case study based questions
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I applied via Company Website and was interviewed before Apr 2021. There were 3 interview rounds.
(1 Question)
- Q1. Why Microsoft? What products do you use?
(1 Question)
- Q1. Discussion on projects written in resume and related problems. Some stats
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Google Interviews By Designations
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Google Data Scientist Interview Process
based on 6 interviews
1 Interview rounds
- Technical Round
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Google Data Scientist Reviews and Ratings
based on 8 reviews
Rating in categories
|
Software Engineer
2.1k
salaries
|  ₹20 L/yr - ₹75 L/yr |
|
Software Developer
1.3k
salaries
| ₹27.8 L/yr - ₹67.3 L/yr |
|
Senior Software Engineer
756
salaries
| ₹24 L/yr - ₹90.9 L/yr |
|
Data Scientist
299
salaries
| ₹32.5 L/yr - ₹60 L/yr |
|
Data Analyst
229
salaries
| ₹10.7 L/yr - ₹22.3 L/yr |
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