Google Data Scientist Interview Questions and Answers for Freshers

You must work through a licensed agent, producer, attorney, manager, or industry executive, as appropriate, who already has a relationship with Netflix.

A factual group discussion is a formal discussion where participants exchange information and facts on a particular topic. The discussion focuses on presenting and analyzing objective data and information rather than subjective opinions or personal experiences.

Done to measure people's attitudes

SQL - shared question on the screen and asked to code in SQL

Q1. Nth highes salary
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Q1. Exptected salary
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Q2. What do you expect for work
Ans. 
I expect challenging projects, opportunities for growth, collaborative team environment, and work-life balance.
• Challenging projects that allow me to apply my data science skills and learn new techniques

• Opportunities for growth and advancement within the company

• Collaborative team environment where I can share ideas and work together towards common goals

• Work-life balance to ensure I can perform at my best both profession
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Topic was joining and calculating

I was asked to solve various problems (your typical algorithm and data structure subjects), as well as explain the various projects I worked on in my most recent position.

Divide candidates in a group of around 15 people, and put you through different activities such as role play exercises to measure your communication and team working skills.

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...read more
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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...read more
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Binary tree question was asked

Q1. Several tech question related to past projects and random forest etc were asked.
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Q1. Tell me about yourself and several other questions
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Based on topological sort

Q1. Ml baiscs like LR, SVM
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Q1. Ml design questions were asked
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Q1. Why do you want to join
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