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Mondelez International Data Scientist 2 Interview Questions and Answers

Updated 19 Feb 2024

Mondelez International Data Scientist 2 Interview Experiences

1 interview found

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
No response

I was interviewed before Feb 2023.

Round 1 - Aptitude Test 

Past projects from resume and deep dive on technical topics from them

Round 2 - One-on-one 

(2 Questions)

  • Q1. Explain past projectz
  • Q2. How do these algorithms work, why you use them
  • Ans. 

    Algorithms like decision trees, random forests, and neural networks work by analyzing data patterns to make predictions or classifications.

    • Decision trees work by splitting the data into branches based on feature values, making decisions at each node.

    • Random forests use multiple decision trees to improve accuracy and reduce overfitting.

    • Neural networks mimic the human brain by processing data through layers of interconnec...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Communicate in simple terms and convert ML outcomes to how they relate to business

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Nov 2023. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Difference between correlation and covariance
  • Ans. 

    Covariance measures the extent to which two variables change together, while correlation measures the strength and direction of a linear relationship between two variables.

    • Covariance can be positive, negative, or zero, indicating the direction of the relationship between variables.

    • Correlation is always between -1 and 1, with 1 indicating a perfect positive linear relationship, -1 indicating a perfect negative linear re...

  • Answered by AI
  • Q2. Elaborate on why you chose to use this specific metric over other(Project based)
Round 2 - One-on-one 

(1 Question)

  • Q1. Explain your favourite DS algorithm as if you are explaining to a 5 yr old
  • Ans. 

    Random Forest is like asking a group of friends for advice and making a decision based on majority vote.

    • Random Forest is an ensemble learning method that builds multiple decision trees and combines their predictions.

    • Each decision tree in the Random Forest is like a friend giving their opinion on a decision.

    • The final prediction of the Random Forest is based on the majority vote of all the decision trees.

    • For example, if ...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - - Prepare your understanding of the projects and concepts well
- Be genuine

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Company Website and was interviewed in May 2024. There were 3 interview rounds.

Round 1 - Assignment 

Sample data for market clustering was provided.

Round 2 - Technical 

(2 Questions)

  • Q1. Scenario Based model selection for price optimisation
  • Q2. Advantages and disadvantages of encoder decoder based models
  • Ans. 

    Encoder-decoder models are popular in sequence-to-sequence tasks, with advantages like flexibility and disadvantages like potential information loss.

    • Advantages: flexibility in handling variable length inputs/outputs, ability to learn complex patterns, widely used in machine translation tasks (e.g. Google Translate)

    • Disadvantages: potential information loss during encoding/decoding process, difficulty in capturing long-r

  • Answered by AI
Round 3 - Technical 

(1 Question)

  • Q1. Questions on Generative AI models

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Mar 2023. There were 3 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Gini Coefficient in Random Forest
  • Ans. 

    The Gini coefficient is used in Random Forest to measure the impurity of a node.

    • Gini coefficient is a measure of impurity in a node of a decision tree in Random Forest.

    • It ranges from 0 (pure node) to 0.5 (impure node).

    • Random Forest uses Gini coefficient to decide how to split nodes during the tree building process.

  • Answered by AI
  • Q2. Random Forest, Bagging and Boosting
Round 2 - One-on-one 

(1 Question)

  • Q1. General Discussion around projects
Round 3 - HR 

(1 Question)

  • Q1. Joining Formalities

Skills evaluated in this interview

Mondelez International Interview FAQs

How many rounds are there in Mondelez International Data Scientist 2 interview?
Mondelez International interview process usually has 2 rounds. The most common rounds in the Mondelez International interview process are Aptitude Test and One-on-one Round.

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