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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

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

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
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 applied via Company Website and was interviewed in Oct 2019. There were 6 interview rounds.

Interview Questionnaire 

4 Questions

  • Q1. How does IC engines work ?
  • Ans. 

    IC engines work by converting fuel into mechanical energy through combustion within the engine.

    • Fuel is mixed with air and ignited in the combustion chamber

    • The resulting explosion pushes a piston, which turns a crankshaft

    • The crankshaft converts the linear motion of the piston into rotational motion

    • The rotational motion is used to power the vehicle or machinery

    • Examples include gasoline engines, diesel engines, and natura

  • Answered by AI
  • Q2. How do you think aircraft engine works ?
  • Ans. 

    Aircraft engines work by sucking in air, compressing it, adding fuel, igniting it, and expelling the exhaust gases to create thrust.

    • Air is sucked in through the front of the engine by the fan blades

    • The compressor squeezes the air to increase its pressure

    • Fuel is added and ignited in the combustion chamber

    • The hot exhaust gases are expelled out the back of the engine, creating thrust

    • Different types of engines include turb

  • Answered by AI
  • Q3. Many behavioural question
  • Q4. Question on Excel

Interview Preparation Tips

Interview preparation tips for other job seekers - Just prepare in depth about your role, about the industry, be good with your communication

I appeared for an interview 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 appeared for an interview 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
Moderate
Process Duration
-
Result
Not Selected
Round 1 - Aptitude Test 

Python, sql were asked, 1st round was resume based round

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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