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Samsung Research Data Scientist Interview Questions and Answers

Updated 29 May 2024

Samsung Research Data Scientist Interview Experiences

2 interviews found

Data Scientist Interview Questions & Answers

user image Ronak Gangwal

posted on 29 May 2024

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Explain xgboost
  • Ans. 

    XGBoost is a popular machine learning algorithm known for its speed and performance in gradient boosting.

    • XGBoost stands for eXtreme Gradient Boosting.

    • It is an implementation of gradient boosted decision trees designed for speed and performance.

    • XGBoost is widely used in machine learning competitions and has become a popular choice for data scientists.

    • It can handle missing data and is optimized for parallel processing.

    • XG...

  • Answered by AI
  • Q2. Explain decision tree
  • Ans. 

    Decision tree is a predictive modeling tool that uses a tree-like graph of decisions and their possible consequences.

    • Decision tree is a supervised learning algorithm used for classification and regression tasks.

    • It breaks down a dataset into smaller subsets based on different attributes.

    • Each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome...

  • Answered by AI

Skills evaluated in this interview

I applied via Referral and was interviewed in May 2022. 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 tips
Round 2 - One-on-one 

(1 Question)

  • Q1. Interview questions were mostly based on basic SQL and python queries
Round 3 - One-on-one 

(1 Question)

  • Q1. Question were asked on machine learning algorithms. There were few questions related to deep learning and image processing.Interviewer has asked me write live code on some moderate level DSA question.

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare basics of SQL
Prepare some DSA ( moderate level will be sufficient)
Machine learning (deep understanding of algorithms)
Basic understanding of deep learning

Data Scientist Interview Questions Asked at Other Companies

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Q5. coding question of finding index of 2 nos. having total equal to ... read more

Interview questions from similar companies

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

15 statistical and logical questions

Round 2 - Coding Test 

2 easy to medium coding problmes. e.g. swapping the array.

Round 3 - Technical 

(2 Questions)

  • Q1. What is regression ? how it works
  • Ans. 

    Regression is a statistical method used to analyze the relationship between variables and predict outcomes.

    • Regression models the relationship between a dependent variable and one or more independent variables.

    • It works by finding the best-fit line that minimizes the sum of squared differences between the actual and predicted values.

    • Examples include linear regression, polynomial regression, and logistic regression.

  • Answered by AI
  • Q2. Questions on recent projects
Round 4 - HR 

(1 Question)

  • Q1. Basic back ground check

Skills evaluated in this interview

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

I appeared for an interview before Feb 2023.

Round 1 - Technical 

(1 Question)

  • Q1. 1. diff between acf pacf
  • Ans. 

    ACF measures the linear relationship between an observation and its lagged values. PACF measures the direct relationship.

    • ACF (Autocorrelation Function) measures the correlation between an observation and its lagged values.

    • PACF (Partial Autocorrelation Function) measures the correlation between an observation and its lagged values, while removing the indirect effects of intermediate lags.

    • ACF is used to identify the orde...

  • Answered by AI

I applied via LinkedIn and was interviewed before Aug 2021. There were 2 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. Describe a decision tree
  • Ans. 

    A decision tree is a flowchart-like model that shows the possible outcomes of a decision based on certain conditions.

    • It is a tree-like structure with nodes representing decisions and branches representing outcomes

    • Each node has a condition that determines which branch to follow

    • It is commonly used in machine learning for classification and regression tasks

    • Example: A decision tree for predicting whether a customer will bu...

  • Answered by AI
  • Q2. What is 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 outputs to improve accuracy.

    • It is a popular machine learning algorithm due to its high accuracy and ability to handle large datasets.

    • Random forest can be used for both classification and regression tasks.

    • It is resistant to overfitting and can handle missing data.

    • Exa...

  • Answered by AI
  • Q3. What is neural network
  • Ans. 

    Neural network is a type of machine learning algorithm inspired by the structure and function of the human brain.

    • Consists of layers of interconnected nodes that process information

    • Used for tasks such as image recognition, natural language processing, and prediction

    • Can be trained using supervised, unsupervised, or reinforcement learning

    • Examples include convolutional neural networks, recurrent neural networks, and deep n

  • Answered by AI
Round 2 - Coding Test 

Leetcode style coding

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare deep learning and AI. Practice leetcode

Skills evaluated in this interview

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

I applied via Naukri.com and was interviewed before Feb 2023. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Questions related to Python , ML, Deep Learning and resume based questions
Round 2 - One-on-one 

(1 Question)

  • Q1. Project related
Round 3 - HR 

(1 Question)

  • Q1. Usual HR questions
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Basic python questions

Data Analyst Interview Questions & Answers

Whirlpool user image POOJA DNYANESHWAR DEWALKAR

posted on 5 Jun 2024

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Jun 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

SQL coding and MCQ duration 45 min

Round 2 - Technical 

(2 Questions)

  • Q1. Job responsibilities
  • Q2. Power BI, tableau, SQL, python
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Basic Qustions JS
  • Q2. Intermediate topics JS

Interview Preparation Tips

Interview preparation tips for other job seekers - All good very relevant questions asked based on project
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response
Round 1 - Aptitude Test 

1 hour baisc on general aptitude

Interview Preparation Tips

Interview preparation tips for other job seekers - just basic interview regarding backgroud, experience

Samsung Research Interview FAQs

How many rounds are there in Samsung Research Data Scientist interview?
Samsung Research interview process usually has 2 rounds. The most common rounds in the Samsung Research interview process are One-on-one Round, Resume Shortlist and Technical.
What are the top questions asked in Samsung Research Data Scientist interview?

Some of the top questions asked at the Samsung Research Data Scientist interview -

  1. explain decision t...read more
  2. Explain xgbo...read more
  3. Question were asked on machine learning algorithms. There were few questions re...read more

Tell us how to improve this page.

Samsung Research Data Scientist Interview Process

based on 1 interview

Interview experience

3
  
Average
View more

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Samsung Research Data Scientist Salary
based on 18 salaries
₹19.9 L/yr - ₹36.3 L/yr
71% more than the average Data Scientist Salary in India
View more details

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2.8/5

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1.9

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3.9

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Promotions

1.9

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