20+ Ericsson Data Scientist Interview Questions & Answers | Complete Prep Guide 2025

Ericsson Data Scientist Interview Experiences

8 interviews found

Data Scientist Interview Questions & Answers

Anonymous

posted on 21 Nov 2024

Interview experience

Average

Difficulty level

Hard

Process Duration

2-4 weeks

Result

No response

I applied via Company Website and was interviewed in Oct 2024. There was 1 interview round.

Round 1 - Technical

(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 ...

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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...

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Q3. Machine Learning questions such as Regression, Trees etc

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Interview Preparation Tips

Topics to prepare for Ericsson Data Scientist interview:

Interview preparation tips for other job seekers - Prepare the basics

Skills evaluated in this interview

Data Scientist Interview Questions & Answers

Anonymous

posted on 8 Nov 2024

Interview experience

Good

Difficulty level

Process Duration

Result

Round 1 - Aptitude Test

Basic aptitude ques were asked

Round 2 - One-on-one

(2 Questions)

Q1. Projects discussion

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Q2. Probability questions

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Round 3 - HR

(2 Questions)

Q1. Why Ericsson and 5 year plan

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Q2. Your strength and weakness

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Data Scientist Interview Questions & Answers

rakesh kumar Sharma

posted on 8 Oct 2024

Interview experience

Average

Difficulty level

Process Duration

Result

Round 1 - Technical

(2 Questions)

Q1. ML questions and deep learning

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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

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Data Scientist Interview Questions & Answers

Anonymous

posted on 21 Mar 2024

Interview experience

Average

Difficulty level

Moderate

Process Duration

Less than 2 weeks

Result

Not Selected

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

Round 1 - Technical

(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...

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Round 2 - Technical

(1 Question)

Q1. Scenerio based data science questns , paramatric and non parametric data

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Skills evaluated in this interview

Data Scientist Interview Questions & Answers

Anonymous

posted on 10 Mar 2024

Interview experience

Good

Difficulty level

Moderate

Process Duration

Less than 2 weeks

Result

I was interviewed in Feb 2024.

Round 1 - Technical

(1 Question)

Q1. Statistics, Machine Learning, Project -Easy to moderate questions

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Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare Statistics and Machine learning algorithms.

Get interview-ready with Top Ericsson Interview Questions

Data Scientist Interview Questions & Answers

prakhar pandey

posted on 15 Oct 2023

Interview experience

Excellent

Difficulty level

Process Duration

Result

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

(1 Question)

Q1. Statistics, python, machine learning, regression

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Round 3 - One-on-one

(1 Question)

Q1. Statistics, machine learning, regression, python

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Round 4 - HR

(1 Question)

Q1. Tell me about yourself

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Data Scientist Jobs at Ericsson

View all

Data Scientist

Noida

8-12 Yrs

Not Disclosed

Data Scientist - Python, Power BI, SQL

Noida

2-5 Yrs

₹ 6.5-20 LPA

Data Scientist(6)

Noida

3-7 Yrs

₹ 7.04-14 LPA

Data Scientist

Noida

3-7 Yrs

₹ 4.2-27.5 LPA

Data Scientist Interview Questions & Answers

Anonymous

posted on 11 Mar 2022

I was interviewed before Mar 2021.

Round 1 - Telephonic Call

(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...

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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...

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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

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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

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Interview Preparation Tips

Eligibility criteriaAbove 7 CGPAEricsson India interview preparation:Topics to prepare for the interview - ML, Statistics, SQL, OOPS, Aptitude, DSATime required to prepare for the interview - 6 monthsInterview preparation tips for other job seekers

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.

Application resume tips for other job seekers

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.

Final outcome of the interviewRejected

Skills evaluated in this interview

Data Scientist Interview Questions & Answers

Anonymous

posted on 28 Nov 2021

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

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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...

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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

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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

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Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare basics of ML, stats and Sql properly

Skills evaluated in this interview

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chirpingstarfruit

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**Python Selenium vs. MERN Stack – Which One is Better for My Career?** I

**Python Selenium vs. MERN Stack – Which One is Better for My Career?** I have an **offer from Ericsson** for a **Python Selenium (Automation Engineer) role**, while I am currently working in a **small compa... read more

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Data Scientist Interview Questions & Answers

IBM

Anonymous

posted on 3 Feb 2021

Interview Questionnaire

1 Question

Q1. What PCA, Decision tree and computer vision

Ans.

PCA is a dimensionality reduction technique, decision tree is a classification algorithm, and computer vision is a field of study focused on enabling computers to interpret and understand visual information.

PCA is used to reduce the number of variables in a dataset while retaining the most important information.
Decision trees are used to classify data based on a set of rules and conditions.
Computer vision involves usin...

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Skills evaluated in this interview

Data Scientist Interview Questions & Answers

Accenture

Anonymous

posted on 13 Sep 2021

I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.

Interview Questionnaire

1 Question

Q1. Nothing much technical

Add your answer

Interview Preparation Tips

Interview preparation tips for other job seekers - 1. Go in formals
2. Fluency in English is important (depends on interview panel)
3. Clarity on what your talking about

Ericsson Interview FAQs

How many rounds are there in Ericsson Data Scientist interview?

Ericsson interview process usually has 2 rounds. The most common rounds in the Ericsson interview process are Technical, One-on-one Round and HR.

How to prepare for Ericsson 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 Ericsson. The most common topics and skills that interviewers at Ericsson expect are Python, Machine Learning, SQL, Data Management and HTML.

What are the top questions asked in Ericsson Data Scientist interview?

Some of the top questions asked at the Ericsson Data Scientist interview -

What are different measures used to check performance of classification mo...read more
What is effect of multicollinearity ik regression analysi...read more
isolatn forest work? evalution metrics in laymann tems , pyspark basics , job l...read more

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based on 273 salaries

₹12.6 L/yr - ₹33 L/yr

38% more than the average Data Scientist Salary in India

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Noida

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