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Samsung Research Data Scientist Interview Questions and Answers
Samsung Research Data Scientist Interview Experiences
2 interviews found
Ronak Gangwal
(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...
- 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...
Skills evaluated in this interview
I applied via Referral and was interviewed in May 2022. There were 3 interview rounds.
(1 Question)
- Q1. Interview questions were mostly based on basic SQL and python queries
(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
Prepare some DSA ( moderate level will be sufficient)
Machine learning (deep understanding of algorithms)
Basic understanding of deep learning
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Anonymous
I applied via LinkedIn and was interviewed before Aug 2021. There were 2 interview rounds.
(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...
- 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...
- 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
Leetcode style coding
Interview Preparation Tips
Skills evaluated in this interview
15 statistical and logical questions
2 easy to medium coding problmes. e.g. swapping the array.
(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.
- Q2. Questions on recent projects
(1 Question)
- Q1. Basic back ground check
Skills evaluated in this interview
I appeared for an interview before Feb 2023.
(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...
Selected
I applied via Naukri.com and was interviewed before Feb 2023. There were 3 interview rounds.
(1 Question)
- Q1. Questions related to Python , ML, Deep Learning and resume based questions
(1 Question)
- Q1. Project related
(1 Question)
- Q1. Usual HR questions
Data Scientist Interview Questions & Answers
LG Electronics
Shivang Singh Kaira
posted on 2 Jan 2025
Basic python questions
Data Analyst Interview Questions & Answers
Whirlpool
POOJA DNYANESHWAR DEWALKAR
posted on 5 Jun 2024
Selected
I applied via Naukri.com and was interviewed before Jun 2023. There were 2 interview rounds.
SQL coding and MCQ duration 45 min
(2 Questions)
- Q1. Job responsibilities
- Q2. Power BI, tableau, SQL, python
(2 Questions)
- Q1. Basic Qustions JS
- Q2. Intermediate topics JS
Interview Preparation Tips
I applied via Naukri.com and was interviewed in Oct 2024. There were 2 interview rounds.
It was simple but lengthy
(2 Questions)
- Q1. Tell me about yourself
- Ans.
I am a data analyst with a strong background in statistics and data visualization.
Graduated with a degree in Statistics
Proficient in programming languages like Python and R
Experience in analyzing large datasets and creating data visualizations
Strong problem-solving skills
- Q2. About resume and technical
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Samsung Research Data Scientist Interview Process
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