Upload Button Icon Add office photos

AT&T

Compare button icon Compare button icon Compare

Filter interviews by

AT&T Data Scientist Interview Questions and Answers

Updated 1 Mar 2024

AT&T Data Scientist Interview Experiences

1 interview found

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

(1 Question)

  • Q1. Basic ML questions were asked.

Interview questions from similar companies

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

  • Answered by AI
  • 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...

  • Answered by AI
  • 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

  • Answered by AI
  • 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

  • Answered by AI

Interview Preparation Tips

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

Skills evaluated in this interview

Interview experience
5
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 tips
Round 2 - One-on-one 

(1 Question)

  • Q1. Statistics, python, machine learning, regression
Round 3 - One-on-one 

(1 Question)

  • Q1. Statistics, machine learning, regression, python
Round 4 - HR 

(1 Question)

  • Q1. Tell me about yourself
Interview experience
3
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...

  • Answered by AI
Round 2 - Technical 

(1 Question)

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

Skills evaluated in this interview

Interview experience
4
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

Interview Preparation Tips

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

Data Scientist Interview Questions & Answers

Ericsson user image rakesh kumar Sharma

posted on 8 Oct 2024

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

(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

  • Answered by AI
Interview experience
4
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
  • Q2. Probability questions
Round 3 - HR 

(2 Questions)

  • Q1. Why Ericsson and 5 year plan
  • Q2. Your strength and weakness
Interview experience
3
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 ...

  • Answered by AI
  • 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...

  • Answered by AI
  • Q3. Machine Learning questions such as Regression, Trees etc

Interview Preparation Tips

Topics to prepare for Ericsson Data Scientist interview:
  • SQL
Interview preparation tips for other job seekers - Prepare the basics

Skills evaluated in this interview

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...

  • Answered by AI
  • 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...

  • Answered by AI
  • 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

  • Answered by AI
  • 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

  • Answered by AI

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

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

I applied via Naukri.com and was interviewed before Apr 2022. There were 6 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 - Technical 

(1 Question)

  • Q1. All technical questions related to profile
Round 3 - Technical 

(1 Question)

  • Q1. Data science questions
Round 4 - Behavioral 

(1 Question)

  • Q1. Current role and experience related
Round 5 - Technical 

(2 Questions)

  • Q1. Technical questions
  • Q2. Data science questions by onshore team
Round 6 - HR 

(2 Questions)

  • Q1. Salary joining date
  • Q2. Expected salary joining date

AT&T Interview FAQs

How many rounds are there in AT&T Data Scientist interview?
AT&T interview process usually has 1 rounds. The most common rounds in the AT&T interview process are Technical.
How to prepare for AT&T 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 AT&T. The most common topics and skills that interviewers at AT&T expect are Data Science, Machine Learning, Python, Data Mining and Big Data.

Tell us how to improve this page.

AT&T Data Scientist Interview Process

based on 2 interviews

Interview experience

2
  
Poor
View more

Interview Questions from Similar Companies

Jio Interview Questions
3.9
 • 1.7k Interviews
Bharti Airtel Interview Questions
4.0
 • 843 Interviews
Vodafone Idea Interview Questions
4.1
 • 553 Interviews
Ericsson Interview Questions
4.1
 • 411 Interviews
Nokia Interview Questions
4.1
 • 267 Interviews
BT Group Interview Questions
3.9
 • 179 Interviews
ACT Fibernet Interview Questions
4.0
 • 133 Interviews
Verizon Interview Questions
4.1
 • 110 Interviews
View all
AT&T Data Scientist Salary
based on 15 salaries
₹7.1 L/yr - ₹30 L/yr
24% more than the average Data Scientist Salary in India
View more details

AT&T Data Scientist Reviews and Ratings

based on 4 reviews

3.6/5

Rating in categories

2.9

Skill development

4.0

Work-life balance

4.0

Salary

3.9

Job security

2.0

Company culture

1.0

Promotions

2.0

Work satisfaction

Explore 4 Reviews and Ratings
Technical Specialist
306 salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Senior Associate
276 salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Network Engineer
235 salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Senior Technical Specialist
137 salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Senior Network Engineer
110 salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Explore more salaries
Compare AT&T with

Verizon

4.1
Compare

Vodafone Idea

4.1
Compare

Bharti Airtel

4.0
Compare

Reliance Communications

4.0
Compare
Did you find this page helpful?
Yes No
write
Share an Interview