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Delta Air Lines Data Scientist Interview Questions and Answers

Updated 18 Sep 2024

Delta Air Lines Data Scientist Interview Experiences

1 interview found

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Recruitment Consulltant and was interviewed in Aug 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Explain how did you handle the imbalance in data
  • Ans. 

    I handled data imbalance by using techniques like oversampling, undersampling, SMOTE, or using ensemble methods.

    • Used oversampling to increase minority class instances

    • Used undersampling to decrease majority class instances

    • Applied SMOTE (Synthetic Minority Over-sampling Technique) to generate synthetic samples for minority class

    • Utilized ensemble methods like Random Forest or Gradient Boosting to handle imbalance

  • Answered by AI
  • Q2. Write a sql query for the given problem statement. Can be solved using advanced concepts like lead and lag
Round 2 - Group Discussion 

Advanced sql and basics of data science

Interview Preparation Tips

Interview preparation tips for other job seekers - Not clear vision for the candidates joining as they don’t have the understanding of their future scope of the team. The interview will be fairly easy if you are well versed in sql. No questions asked on python. Project level understanding for data science only.

Interview questions from similar companies

I applied via Approached by Company and was interviewed in Mar 2022. There were 3 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. What kind of project you have done give some brief. How you will avoid over fiting to model. How will you handle missing data points in a data frame. Why you want to join our company.
Round 2 - One-on-one 

(1 Question)

  • Q1. Behavioral question was asked by manager.
Round 3 - HR 

(1 Question)

  • Q1. CTC discussion was done

Interview Preparation Tips

Interview preparation tips for other job seekers - Try to give best and rest live on hands of God
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Naukri.com and was interviewed in Feb 2024. There was 1 interview round.

Round 1 - One-on-one 

(5 Questions)

  • Q1. Picks one of the Projects to discuss the structure and methodology.
  • Q2. Reverse a String
  • Ans. 

    Reverse a given string

    • Use built-in functions like reverse() or slice() in Python

    • Iterate through the string in reverse order and append characters to a new string

    • Convert the string to an array of characters, reverse the array, and join it back into a string

  • Answered by AI
  • Q3. Basic ML Questions about Resume Projects
  • Q4. What is Regularization?
  • Ans. 

    Regularization is a technique used to prevent overfitting in machine learning models by adding a penalty term to the loss function.

    • Regularization helps to reduce the complexity of the model by penalizing large coefficients.

    • It adds a penalty term to the loss function, such as L1 (Lasso) or L2 (Ridge) regularization.

    • Regularization helps to improve the generalization of the model by discouraging overfitting.

    • Examples of re...

  • Answered by AI
  • Q5. Basics about Forescasting.

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
No response

I applied via Recruitment Consulltant and was interviewed in Feb 2024. There were 3 interview rounds.

Round 1 - Assignment 

Hackerank Assignment

Round 2 - Technical 

(1 Question)

  • Q1. Coding and ML questions
Round 3 - Technical 

(1 Question)

  • Q1. About projects and questions related to that
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Walk-in and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Basic coding questions

Round 2 - Technical 

(3 Questions)

  • Q1. Explain in detail about current project? Reason for choosing the algorithm, evaluation metrics and analysis of data
  • Ans. 

    Developed a predictive model for customer churn using logistic regression

    • Chose logistic regression for its interpretability and ability to handle binary outcomes

    • Evaluated model performance using accuracy, precision, recall, and F1 score

    • Analyzed customer data including demographics, purchase history, and customer service interactions

  • Answered by AI
  • Q2. Python and sql coding questions - basic
  • Q3. Linear regression, xgboost, precision, recall, F1 Score,Correlation
Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Dec 2024. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Basics of linear regression
Round 2 - Technical 

(1 Question)

  • Q1. Machine learning in depth

I was interviewed in Nov 2020.

Interview Questionnaire 

1 Question

  • Q1. Job profile Question. Managerial skill question. Basic Engineering question.

Interview Preparation Tips

Interview preparation tips for other job seekers - Basic engineering concept.
Application software know how knowledge.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I was interviewed in Feb 2025.

Round 1 - Coding Test 

Data analysis , SQL, python, ML

Round 2 - Coding Test 

Excellent performance

Round 3 - HR 

(2 Questions)

  • Q1. Tell me about your self
  • Q2. Are you comfortable to position
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Power bi project experience, basics of sql, technical documentation
Round 2 - HR 

(1 Question)

  • Q1. Discussion related to Salary and Date of joining

I applied via LinkedIn and was interviewed before May 2021. There were 4 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 Resume tips
Round 2 - Aptitude Test 

The aptitude test is pretty basic and logical

Round 3 - Technical 

(1 Question)

  • Q1. Based on the skills and case study you have mentioned in the resume and brainstorming ques too.
Round 4 - HR 

(1 Question)

  • Q1. Basic discussion. Simplest round.

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on skills that are mentioned in the resume and do practice of logical ques
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Delta Air Lines Interview FAQs

How many rounds are there in Delta Air Lines Data Scientist interview?
Delta Air Lines interview process usually has 2 rounds. The most common rounds in the Delta Air Lines interview process are Technical and Group Discussion.
What are the top questions asked in Delta Air Lines Data Scientist interview?

Some of the top questions asked at the Delta Air Lines Data Scientist interview -

  1. Explain how did you handle the imbalance in d...read more
  2. Write a sql query for the given problem statement. Can be solved using advanced...read more

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Delta Air Lines Data Scientist Interview Process

based on 1 interview

Interview experience

3
  
Average
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