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Swiggy Data Scientist Interview Questions and Answers

Updated 20 Sep 2024

Swiggy Data Scientist Interview Experiences

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Job Portal and was interviewed in Nov 2024. There were 3 interview rounds.

Round 1 - Coding Test 

SQL and Python coding test

Round 2 - Technical 

(2 Questions)

  • Q1. Bagging vs Boosting
  • Q2. Overfitting and Underfitting in GBDT
Round 3 - HR 

(2 Questions)

  • Q1. Questions on Recent project
  • Q2. Deep Learning vs classical ML
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Tell me about your projects?
  • Q2. How do you approach the project if you are using logistic regression model?
  • Ans. 

    Approach involves data preprocessing, model training, evaluation, and interpretation.

    • Perform data preprocessing such as handling missing values, encoding categorical variables, and scaling features.

    • Split the data into training and testing sets.

    • Train the logistic regression model on the training data.

    • Evaluate the model using metrics like accuracy, precision, recall, and F1 score.

    • Interpret the model coefficients to under...

  • Answered by AI
Round 2 - HR 

(2 Questions)

  • Q1. What are you future goals?
  • Q2. What would you do if your interested field doesnt have any work in the company?
  • Ans. 

    I would seek opportunities to apply my skills in related fields within the company.

    • Explore other departments or teams within the company that may have projects related to my field of interest

    • Offer to collaborate with colleagues in different departments to bring a new perspective to their projects

    • Seek out professional development opportunities to expand my skills and knowledge in related areas

  • Answered by AI

Skills evaluated in this interview

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

I applied via campus placement at Institute of Technology, Banaras Hindu University and was interviewed in Sep 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Explain all of decision tree and random forest?
  • Ans. 

    Decision tree is a tree-like model of decisions and their possible consequences, while random forest is an ensemble learning method that builds multiple decision trees and merges them together.

    • Decision tree is a flowchart-like structure where each internal node represents a decision based on an attribute, each branch represents the outcome of the decision, and each leaf node represents a class label.

    • Random forest is a ...

  • Answered by AI
  • Q2. Some basic probability questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep statistics strong

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Coding Test 

Easy topics arrays, sequence sum.

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Apr 2024. There were 2 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. Data Engineering
  • Q2. Data Cleaning, Models
  • Q3. MLOps Pipeline, Data Preprocessing
Round 2 - One-on-one 

(2 Questions)

  • Q1. HR Questions mostly
  • Q2. Company and Culture fit
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(2 Questions)

  • Q1. What do you know about Uber?
  • Q2. Went over my current role
Interview experience
3
Average
Difficulty level
Easy
Process Duration
4-6 weeks
Result
-

I applied via Referral and was interviewed before Oct 2023. There were 2 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. Explain past projects
Round 2 - One-on-one 

(1 Question)

  • Q1. Explain resume points
  • Ans. 

    Resume points are concise descriptions of your work experience, skills, and achievements listed on your resume.

    • Resume points should be clear, specific, and quantifiable.

    • Use action verbs to start each point, such as 'developed', 'implemented', 'analyzed'.

    • Include relevant metrics or results to demonstrate impact, such as 'increased sales by 20%' or 'reduced processing time by 30%'.

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

SQL - shared question on the screen and asked to code in SQL

Round 2 - Technical 

(1 Question)

  • Q1. Nth highes salary
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Test 45 mins 30 ques

Round 2 - One-on-one 

(3 Questions)

  • Q1. What is Linearregression
  • Ans. 

    Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.

    • Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.

    • It assumes a linear relationship between the independent and dependent variables.

    • The goal of linear regression is to find the best-fitting line that minimi...

  • Answered by AI
  • Q2. What is random forest
  • Ans. 

    Random forest is an ensemble learning method used for classification and regression tasks.

    • Random forest is a collection of decision trees that are trained on random subsets of the data.

    • Each tree in the random forest independently predicts the target variable, and the final prediction is made by averaging the predictions of all trees.

    • Random forest is robust to overfitting and noisy data, and it can handle large datasets...

  • Answered by AI
  • Q3. WHat is xgboost
  • Ans. 

    XGBoost is an optimized distributed gradient boosting library designed for efficient and accurate large-scale machine learning.

    • XGBoost stands for eXtreme Gradient Boosting.

    • It is a popular machine learning algorithm known for its speed and performance.

    • XGBoost is used for regression, classification, ranking, and user-defined prediction problems.

    • It is based on the gradient boosting framework and uses decision trees as bas...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Thanks

Skills evaluated in this interview

Swiggy Interview FAQs

How many rounds are there in Swiggy Data Scientist interview?
Swiggy interview process usually has 1 rounds. The most common rounds in the Swiggy interview process are Technical.
How to prepare for Swiggy 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 Swiggy. The most common topics and skills that interviewers at Swiggy expect are Python, Machine Learning, SQL, Open Source and Data Mining.
What are the top questions asked in Swiggy Data Scientist interview?

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

  1. Basic Recommendation System Questi...read more
  2. A B Testing Questi...read more

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Swiggy Data Scientist Interview Process

based on 1 interview

Interview experience

5
  
Excellent
View more
Swiggy Data Scientist Salary
based on 30 salaries
₹9 L/yr - ₹31.7 L/yr
42% more than the average Data Scientist Salary in India
View more details

Swiggy Data Scientist Reviews and Ratings

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4.0/5

Rating in categories

4.4

Skill development

3.7

Work-life balance

3.2

Salary

3.5

Job security

4.1

Company culture

3.3

Promotions

4.3

Work satisfaction

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