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Ericsson Data Scientist Interview Questions and Answers
10 Interview questions
Group by is used to group rows that have the same values into summary rows, while Partition by is used to divide the result set into partitions to which the function is applied separately.
Group by is used with aggregate functions to group rows based on a column or set of columns.
Partition by is used with window functions to divide the result set into partitions.
Group by is used with SELECT statement, while Partiti...
Measures to check performance of classification model
Accuracy
Precision
Recall
F1 Score
ROC Curve
Confusion Matrix
Multicollinearity in regression analysis affects the accuracy and interpretability of the model.
Multicollinearity occurs when two or more independent variables are highly correlated.
It leads to unstable and unreliable estimates of regression coefficients.
It reduces the precision of the estimates and increases the standard errors.
It makes it difficult to interpret the individual effects of the independent variables...
Assumptions of linear regression
Linear relationship between independent and dependent variables
Homoscedasticity (constant variance) of errors
Independence of errors
Normal distribution of errors
No multicollinearity among independent variables
Isolation Forest is an anomaly detection algorithm that works by isolating outliers in a dataset.
Isolation Forest is an unsupervised machine learning algorithm used for anomaly detection.
It works by randomly selecting a feature and then randomly selecting a split value between the maximum and minimum values of the selected feature.
The number of splits required to isolate an outlier is used as a measure of its abno...
Data Warehouse stores structured data for reporting and analysis, Data Lakes store raw and unstructured data, Tables are basic data structures.
Data Warehouse is used for storing structured data from various sources for reporting and analysis.
Data Lakes store raw and unstructured data in its native format for future processing and analysis.
Tables are basic data structures used to organize and store data in a struct...
Different measures used to evaluate classification model performance
Accuracy: Overall correctness of the model's predictions
Precision: Proportion of true positive predictions among all positive predictions
Recall: Proportion of true positive predictions among all actual positives
F1 Score: Harmonic mean of precision and recall
Confusion Matrix: Summarizes the performance of a classification model
Assumptions of a linear regression model include linearity, independence, homoscedasticity, and normality.
Linearity: The relationship between the independent and dependent variables is linear.
Independence: The residuals are independent of each other.
Homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.
Normality: The residuals are normally distributed.
No multico...
Disadvantages of logistic regression
Assumes linearity between independent variables and log odds of the dependent variable
Prone to overfitting with large number of features
Not suitable for complex relationships or non-linear data
Can't handle missing values well
Multicollinearity in regression analysis causes issues like inflated standard errors, unstable coefficients, and difficulty in interpreting the importance of predictors.
Multicollinearity leads to inflated standard errors, making it difficult to determine the significance of predictors.
It causes unstable coefficients, as small changes in the data can result in large changes in the coefficients.
Interpreting the impo...
Ericsson Data Scientist Interview Experiences
8 interviews found
Anonymous
I applied via Company Website and was interviewed in Oct 2024. There was 1 interview round.
(3 Questions)
- Q1. Difference between Data Warehouse, Data Lakes and Tables
- Ans.
Data Warehouse stores structured data for reporting and analysis, Data Lakes store raw and unstructured data, Tables are basic data structures.
Data Warehouse is used for storing structured data from various sources for reporting and analysis.
Data Lakes store raw and unstructured data in its native format for future processing and analysis.
Tables are basic data structures used to organize and store data in a structured ...
- Q2. Query difference betweeen Group by and Partition by
- Ans.
Group by is used to group rows that have the same values into summary rows, while Partition by is used to divide the result set into partitions to which the function is applied separately.
Group by is used with aggregate functions to group rows based on a column or set of columns.
Partition by is used with window functions to divide the result set into partitions.
Group by is used with SELECT statement, while Partition by...
- Q3. Machine Learning questions such as Regression, Trees etc
Interview Preparation Tips
- SQL
Skills evaluated in this interview
Basic aptitude ques were asked
(2 Questions)
- Q1. Projects discussion
- Q2. Probability questions
(2 Questions)
- Q1. Why Ericsson and 5 year plan
- Ans.
I am drawn to Ericsson for its innovation in telecommunications and envision a growth-focused 5-year plan aligned with its goals.
Ericsson's commitment to 5G technology aligns with my interest in cutting-edge telecommunications.
I aim to contribute to data-driven decision-making processes, enhancing network efficiency.
I plan to develop skills in machine learning to analyze large datasets for predictive maintenance.
I see ...
- Q2. Your strength and weakness
rakesh kumar Sharma
(2 Questions)
- Q1. ML questions and deep learning
- Q2. Project in your cv
- Ans.
Developed a machine learning model to predict customer churn for a telecom company.
Used Python and scikit-learn for data preprocessing and model building
Performed feature engineering to improve model performance
Evaluated model using metrics like accuracy, precision, and recall
I applied via Company Website and was interviewed in Feb 2024. There were 2 interview rounds.
(1 Question)
- Q1. Isolatn forest work? evalution metrics in laymann tems , pyspark basics , job lib
- Ans.
Isolation Forest is an anomaly detection algorithm that works by isolating outliers in a dataset.
Isolation Forest is an unsupervised machine learning algorithm used for anomaly detection.
It works by randomly selecting a feature and then randomly selecting a split value between the maximum and minimum values of the selected feature.
The number of splits required to isolate an outlier is used as a measure of its abnormali...
(1 Question)
- Q1. Scenerio based data science questns , paramatric and non parametric data
Skills evaluated in this interview
I appeared for an interview in Feb 2024.
(1 Question)
- Q1. Statistics, Machine Learning, Project -Easy to moderate questions
Interview Preparation Tips
prakhar pandey
(1 Question)
- Q1. Statistics, python, machine learning, regression
(1 Question)
- Q1. Statistics, machine learning, regression, python
(1 Question)
- Q1. Tell me about yourself
I appeared for an interview before Mar 2021.
(4 Questions)
Round duration - 60 minutes
Round difficulty - Easy
Technical Interview round with questions on ML mainly.
- Q1. What are the assumptions of a linear regression model?
- Ans.
Assumptions of a linear regression model include linearity, independence, homoscedasticity, and normality.
Linearity: The relationship between the independent and dependent variables is linear.
Independence: The residuals are independent of each other.
Homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.
Normality: The residuals are normally distributed.
No multicolline...
- Q2. What problems does multicollinearity cause in regression analysis?
- Ans.
Multicollinearity in regression analysis causes issues like inflated standard errors, unstable coefficients, and difficulty in interpreting the importance of predictors.
Multicollinearity leads to inflated standard errors, making it difficult to determine the significance of predictors.
It causes unstable coefficients, as small changes in the data can result in large changes in the coefficients.
Interpreting the importanc...
- Q3. What are the different measures used to evaluate the performance of a classification model?
- Ans.
Different measures used to evaluate classification model performance
Accuracy: Overall correctness of the model's predictions
Precision: Proportion of true positive predictions among all positive predictions
Recall: Proportion of true positive predictions among all actual positives
F1 Score: Harmonic mean of precision and recall
Confusion Matrix: Summarizes the performance of a classification model
- Q4. What are the disadvantages of logistic regression?
- Ans.
Disadvantages of logistic regression
Assumes linearity between independent variables and log odds of the dependent variable
Prone to overfitting with large number of features
Not suitable for complex relationships or non-linear data
Can't handle missing values well
Interview Preparation Tips
Tip 1 : Prepare basics of ML, stats and Sql properly.
Tip 2 : Go through all the previous interview experiences from Codestudio and Leetcode.
Tip 3 : Do at-least 2 good projects and you must know every bit of them.
Tip 1 : Have at-least 2 good projects explained in short with all important points covered.
Tip 2 : Every skill must be mentioned.
Tip 3 : Focus on skills, projects and experiences more.
Skills evaluated in this interview
I applied via Referral and was interviewed before Nov 2020. There were 4 interview rounds.
Interview Questionnaire
4 Questions
- Q1. State assumptions of linear regression?
- Ans.
Assumptions of linear regression
Linear relationship between independent and dependent variables
Homoscedasticity (constant variance) of errors
Independence of errors
Normal distribution of errors
No multicollinearity among independent variables
- Q2. What is effect of multicollinearity ik regression analysis?
- Ans.
Multicollinearity in regression analysis affects the accuracy and interpretability of the model.
Multicollinearity occurs when two or more independent variables are highly correlated.
It leads to unstable and unreliable estimates of regression coefficients.
It reduces the precision of the estimates and increases the standard errors.
It makes it difficult to interpret the individual effects of the independent variables.
It c...
- Q3. What are different measures used to check performance of classification model
- Ans.
Measures to check performance of classification model
Accuracy
Precision
Recall
F1 Score
ROC Curve
Confusion Matrix
- Q4. What are disadvantage of logistics regression?
- Ans.
Logistic regression assumes linear relationship between independent and dependent variables.
May not perform well with non-linear data
May overfit or underfit the data
May be sensitive to outliers
May require large sample size for stable results
Interview Preparation Tips
Skills evaluated in this interview
Top trending discussions
Interview questions from similar companies
- Q1. Llm based questions
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Selected
I applied via Naukri.com and was interviewed before Apr 2022. There were 6 interview rounds.
(1 Question)
- Q1. All technical questions related to profile
(1 Question)
- Q1. Data science questions
(1 Question)
- Q1. Current role and experience related
(2 Questions)
- Q1. Technical questions
- Q2. Data science questions by onshore team
(2 Questions)
- Q1. Salary joining date
- Q2. Expected salary joining date
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