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Great Learning Senior Data Scientist Interview Questions, Process, and Tips

Updated 15 Nov 2021

Great Learning Senior Data Scientist Interview Experiences

1 interview found

I applied via Referral and was interviewed in Oct 2021. There were 5 interview rounds.

Interview Questionnaire 

9 Questions

  • Q1. About the pervious Project?
  • Q2. How ensemble techniques works?
  • Ans. 

    Ensemble techniques combine multiple models to improve prediction accuracy.

    • Ensemble techniques can be used with various types of models, such as decision trees, neural networks, and support vector machines.

    • Common ensemble techniques include bagging, boosting, and stacking.

    • Bagging involves training multiple models on different subsets of the data and combining their predictions through averaging or voting.

    • Boosting invol...

  • Answered by AI
  • Q3. Types of ensemble techniques?
  • Ans. 

    Ensemble techniques combine multiple models to improve prediction accuracy.

    • Bagging: Bootstrap Aggregating

    • Boosting: AdaBoost, Gradient Boosting

    • Stacking: Meta-model combines predictions of base models

    • Voting: Combining predictions of multiple models by majority voting

  • Answered by AI
  • Q4. Explain bagging
  • Ans. 

    Bagging is a technique used in machine learning to improve the stability and accuracy of a model by combining multiple models.

    • Bagging stands for Bootstrap Aggregating.

    • It involves creating multiple subsets of the original dataset by randomly sampling with replacement.

    • Each subset is used to train a separate model, and the final prediction is the average of all the predictions made by each model.

    • Bagging reduces overfittin...

  • Answered by AI
  • Q5. Explain bosting?
  • Ans. 

    Boosting is an ensemble learning technique that combines multiple weak models to create a strong model.

    • Boosting iteratively trains weak models on different subsets of data

    • Each subsequent model focuses on the misclassified data points of the previous model

    • Final prediction is made by weighted combination of all models

    • Examples include AdaBoost, Gradient Boosting, XGBoost

  • Answered by AI
  • Q6. Difference between bias and variance
  • Ans. 

    Bias is error due to erroneous assumptions in the learning algorithm. Variance is error due to sensitivity to small fluctuations in the training set.

    • Bias is the difference between the expected prediction of the model and the correct value that we are trying to predict.

    • Variance is the variability of model prediction for a given data point or a value which tells us spread of our data.

    • High bias can cause an algorithm to m...

  • Answered by AI
  • Q7. Classification techniques?
  • Ans. 

    Classification techniques are used to categorize data into different classes or groups based on certain features or attributes.

    • Common classification techniques include decision trees, logistic regression, k-nearest neighbors, and support vector machines.

    • Classification can be binary (two classes) or multi-class (more than two classes).

    • Evaluation metrics for classification include accuracy, precision, recall, and F1 scor...

  • Answered by AI
  • Q8. Explain about random forest
  • Ans. 

    Random forest is an ensemble learning method for classification, regression and other tasks.

    • Random forest builds multiple decision trees and combines their predictions to improve accuracy.

    • It uses bagging technique to create multiple subsets of data and features for each tree.

    • Random forest reduces overfitting and is robust to outliers and missing values.

    • It can handle high-dimensional data and is easy to interpret featur...

  • Answered by AI
  • Q9. Many question on SQL and Python

Interview Preparation Tips

Interview preparation tips for other job seekers - Go through the Basics of SQL, Python, Algorithms and should know to explain about the previous projects and most of the questions on the projects.

Skills evaluated in this interview

Interview questions from similar companies

I applied via Referral and was interviewed in Sep 2020. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Salary package

Interview Preparation Tips

Interview preparation tips for other job seekers - very easy process..2 rounds only

Interview Questionnaire 

2 Questions

  • Q1. Google sheet
  • Q2. Sql

Interview Preparation Tips

Interview preparation tips for other job seekers - learn google sheet and sql basic formulas
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Walk-in and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Group Discussion 

Any general knowledge topic

Round 2 - One-on-one 

(6 Questions)

  • Q1. Tell me about yourself
  • Ans. My Name is Sujitha Rajendran.I have completed Master of Business Economics at Ethiraj College for women. I am from Namakkal district and searching for job opportunities now. My Father is a business man. My Mother is a home maker and My Brother is a Software Engineer
  • Answered by treasuredsangria
  • Q2. Strength and weakness
  • Q3. Short term and long term goal
  • Ans. 

    Short term goal is to enhance data analysis skills, long term goal is to become a data science expert.

    • Short term goal: Improve proficiency in SQL, Python, and data visualization tools

    • Long term goal: Obtain advanced certifications in machine learning and AI

    • Short term goal: Complete online courses on statistical analysis and data cleaning

    • Long term goal: Lead data science projects and mentor junior analysts

  • Answered by AI
  • Q4. Why did you chosen this company?
  • Ans. My Strength is that I am not only a hard working person but also a smart working person. I am a quick learner and self motivational person. I am a good team player, good listener and good in time management
  • Answered by treasuredsangria
  • Q5. Why we want to hire you?
  • Q6. Salary discussion

Interview Preparation Tips

Topics to prepare for NxtWave Data Analyst interview:
  • Data Science
Interview preparation tips for other job seekers - It was a good opportunity to fresher for placement
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Company Website and was interviewed in Jun 2024. There were 2 interview rounds.

Round 1 - Coding Test 

2.5 Hours 2 Coding que and sql query and topin tech platform

Round 2 - waiting for result 

(2 Questions)

  • Q1. Based on boolean matrix
  • Q2. Find k closest node of given given node in a BST.
  • Ans. 

    Find k closest nodes to a given node in a BST.

    • Perform an inorder traversal of the BST to get a sorted list of nodes.

    • Use a priority queue to keep track of the k closest nodes based on their absolute difference with the target node.

    • Populate the priority queue with the first k nodes from the inorder traversal.

    • For each subsequent node, calculate its absolute difference with the target node and compare it with the top eleme...

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

SQL, Analytical, Maths

Round 2 - Technical 

(2 Questions)

  • Q1. SQL qsn on some data
  • Q2. Qsn on LLMs in company
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
No response

I applied via Naukri.com and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Coding Test 

SQL two problem statements to be solved in 30 mins
Python two problem statements to be solved in 30 mins
Around 15 MCQ on stats and aptitude

Round 2 - Technical 

(1 Question)

  • Q1. Python, Excel, SQL and aptitude
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Jan 2023. There were 2 interview rounds.

Round 1 - Case Study 

Case study on lesson planning

Round 2 - One-on-one 

(1 Question)

  • Q1. Manager round either over zoom or face to face

I applied via Recruitment Consulltant and was interviewed in Oct 2022. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - HR 

(4 Questions)

  • Q1. Ask some questions about my self and previously what i did and some questions related to company...
  • Q2. Tell me about your self
  • Q3. What are the skills you have
  • Q4. Why are you choose this company
Round 3 - Aptitude Test 

They share some apptitude questions and communication related questions to answer them...

Round 4 - Group Discussion 

Take a one topic from my self to discuss with other to communicate....how easily

Interview Preparation Tips

Topics to prepare for Skill Lync Data Analyst interview:
  • Python
  • MySQL
  • Machine Learning
  • Tableau
  • Excel
Interview preparation tips for other job seekers - To be confident while giving answers to the infrent of interviewer...and good communication skills and good eye contact to everyone
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Naukri.com and was interviewed in Jan 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Verbal, logical, Quantative test

Round 2 - HR 

(1 Question)

  • Q1. Self introduction

Interview Preparation Tips

Interview preparation tips for other job seekers - It was a good job promotion for development of data

Great Learning Interview FAQs

How to prepare for Great Learning Senior Data Scientist interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Great Learning. The most common topics and skills that interviewers at Great Learning expect are Data Science, Python, Data Management, Machine Learning and Neural Networks.
What are the top questions asked in Great Learning Senior Data Scientist interview?

Some of the top questions asked at the Great Learning Senior Data Scientist interview -

  1. how ensemble techniques wor...read more
  2. Difference between bias and varia...read more
  3. Types of ensemble techniqu...read more

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Great Learning Senior Data Scientist Salary
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₹11.5 L/yr - ₹18 L/yr
48% less than the average Senior Data Scientist Salary in India
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3.8/5

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