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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

Interview Questionnaire 

3 Questions

  • Q1. Tell me something about yourself?
  • Q2. What is your strengths and weaknesses?
  • Q3. What is your expected salary from our company?

Interview Preparation Tips

Interview preparation tips for other job seekers - Thank you for giving me an opportunity for introducing myself. My name is Akash Anadure. I am from pune. I have completed my graduation B.E Computer Science and engineering in PDA College of engineering Gulbarga. I have completed my

I applied via Naukri.com and was interviewed before Sep 2021. There were 2 interview rounds.

Round 1 - Aptitude Test 

Question was moderate.based on logical reasoning and math.

Round 2 - Coding Test 

Coding test question based on sql and python.

Interview Preparation Tips

Interview preparation tips for other job seekers - if u have good knowledge on python ,machine learning and sql, then u can easily crack the exam.

I applied via LinkedIn and was interviewed before Sep 2021. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. DS and algorithm questions
Round 2 - Technical 

(1 Question)

  • Q1. IOS /Skillset questions some tricky questions
Round 3 - HR 

(1 Question)

  • Q1. Personality and Compensation discussion

Interview Preparation Tips

Interview preparation tips for other job seekers - Study fundamentals of your profile/domain

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 Questionnaire 

1 Question

  • Q1. Any type of questions in data field
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Sep 2023. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Design a recommendation model for Udemy platform using course content table and user interaction table.
  • Ans. 

    Design a recommendation model for Udemy platform using course content table and user interaction table.

    • 1. Use collaborative filtering to recommend courses based on user's past interactions and similar users' preferences.

    • 2. Incorporate content-based filtering to recommend courses based on course content similarity.

    • 3. Implement a hybrid recommendation system that combines collaborative and content-based filtering for bet...

  • Answered by AI
Round 2 - Coding Test 

They tried testing my prowess on Python coding on a moderate difficulty level.

Interview experience
1
Bad
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed before Nov 2021. There were 2 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 Resume tips
Round 2 - One-on-one 

(2 Questions)

  • Q1. Just personal details, actually not a tough interview anyone can easily get a job here experience not required, once you get placed they will give training for what to do and what not to do and after getti...
  • Q2. No such formal questions you are selected that it

Interview Preparation Tips

Interview preparation tips for other job seekers - If you really need to make your career in proper way this is not the company for you 0 learning, 0 work life balance. Who don’t have options outside who are dump only can sustain here because those dump knows they are useless no one will give job to him so that kind of candidates can work here for no reason worst organisation ever
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Apr 2023. There were 3 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 Resume tips
Round 2 - HR 

(2 Questions)

  • Q1. The first round of interviews was smooth; I had to visit their office in Andheri and then have a face-to-face conversation with Neeraj sir (Hr). The questions were to introduce yourself, what is big data, ...
  • Q2. After answering, he seemed somehow satisfied, but later he was encouraging me to enroll in their course and enhance my skills. And I'm still getting their emails and promotional messages for the same.
Round 3 - Technical 

(2 Questions)

  • Q1. The second round was on the call, which was rescheduled thrice. Then finally I got a call where Ashish sir (Hr) asked me to introduce myself, what are T&Z testing, overfitting, K neighbour algorithm, can w...
  • Q2. The job position was for a fresher Data analyst, but they were asking questions related to Data scientist position. Basically, they were looking for a candidate who has hands-on experience with real-time d...

Interview Preparation Tips

Topics to prepare for Imarticus Learning Data Analyst interview:
  • Data Science
  • R
  • Python
  • Excel
Interview preparation tips for other job seekers - Learn more about Data science, the company is into placing students in MNC's if they are skillful.
Interview experience
4
Good
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - HR 

(1 Question)

  • Q1. The first round was a basic telephonic interview. Then simple basic SQL questions and some question based on Normalisation and DBMS were asked.
Round 2 - Technical 

(1 Question)

  • Q1. This was the toughest Data Analyst Interview I have faced till now. Interview was of 1 hr. Required higher level of SQL understanding. Asked to share screen and then solve SQL queries. Question based on jo...
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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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