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Target Data Scientist Interview Questions and Answers

Updated 26 Oct 2024

Target Data Scientist Interview Experiences

2 interviews found

Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Array-based question

Round 2 - Technical 

(2 Questions)

  • Q1. Explain Xgboots
  • Ans. 

    XGBoost is a popular machine learning algorithm known for its speed and performance in handling large datasets.

    • XGBoost stands for eXtreme Gradient Boosting.

    • It is an implementation of gradient boosted decision trees designed for speed and performance.

    • XGBoost is widely used in machine learning competitions and real-world applications.

    • It can handle missing data, regularization, and parallel processing efficiently.

    • XGBoost ...

  • Answered by AI
  • Q2. Explain random forest
  • Ans. 

    Random forest is an ensemble learning method that builds multiple decision trees and combines their predictions.

    • Random forest is a type of ensemble learning method.

    • It builds multiple decision trees during training.

    • Each tree in the forest makes a prediction, and the final prediction is the average or majority vote of all trees.

    • Random forest is used for classification and regression tasks.

    • It helps reduce overfitting and ...

  • Answered by AI
Round 3 - Technical 

(2 Questions)

  • Q1. Explain about your project
  • Q2. Explain the sequence to sequence models and transformers
  • Ans. 

    Sequence to sequence models are used in natural language processing to convert input sequences into output sequences.

    • Sequence to sequence models are commonly used in machine translation tasks, where the input is a sentence in one language and the output is the translated sentence in another language.

    • Transformers are a type of sequence to sequence model that use self-attention mechanisms to weigh the importance of diffe...

  • Answered by AI

Skills evaluated in this interview

Data Scientist Interview Questions & Answers

user image Aishwarya Shukla

posted on 8 Jun 2024

Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Past experience

Data Scientist Interview Questions Asked at Other Companies

Q1. for a data with 1000 samples and 700 dimensions, how would you fi ... read more
Q2. Special Sum of Array Problem Statement Given an array 'arr' conta ... read more
asked in Affine
Q3. you have a pandas dataframe with three columns, filled with state ... read more
Q4. Clone a Linked List with Random Pointers Given a linked list wher ... read more
asked in Coforge
Q5. coding question of finding index of 2 nos. having total equal to ... read more

Data Scientist Jobs at Target

View all

Interview questions from similar companies

I applied via Naukri.com and was interviewed in Nov 2021. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Round one was a combination of a technical round and a discussion on previous work experience. Questions - Previous work experience, Basic SQL questions, Basic Python questions, Basic Tableau question...
Round 2 - One-on-one 

(1 Question)

  • Q1. This was a culture fit round. This was a one on one discussion with the manager. Offer letter was rolled out after this round.

Interview Preparation Tips

Interview preparation tips for other job seekers - Cover your basics in SQL, Python, Tableau and ML.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Coding Test 

Python and sql based questions

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Aug 2022. There were 3 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. Heavy SQL solutions
Round 3 - Case Study 

Retail case study, with soft skills is required for this round

Interview Preparation Tips

Interview preparation tips for other job seekers - Make sure you're good in SQL. It will heavily revolve around SQL solving.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Jun 2023. There were 3 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. Resume related questions with the hiring manager
Round 2 - Coding Test 

Python for Data Science basics

Round 3 - Case Study 

Optimization case study

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. How to reduce model inference latency
  • Ans. 

    To reduce model inference latency, optimize model architecture, use efficient algorithms, batch processing, and deploy on high-performance hardware.

    • Optimize model architecture by reducing complexity and removing unnecessary layers

    • Use efficient algorithms like XGBoost or LightGBM for faster predictions

    • Implement batch processing to make predictions in bulk rather than one at a time

    • Deploy the model on high-performance har

  • Answered by AI
  • Q2. Different sql joins and their difference
  • Ans. 

    SQL joins are used to combine rows from two or more tables based on a related column between them.

    • INNER JOIN: Returns rows when there is at least one match in both tables.

    • LEFT JOIN: Returns all rows from the left table and the matched rows from the right table.

    • RIGHT JOIN: Returns all rows from the right table and the matched rows from the left table.

    • FULL JOIN: Returns rows when there is a match in one of the tables.

    • SEL

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
More than 8 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Oct 2023. There were 3 interview rounds.

Round 1 - HR 

(1 Question)

  • Q1. Why do you want to leave your current job?
Round 2 - Coding Test 

SQL coding question. Medium level

Round 3 - Case Study 

Explain my project and then case study regarding launching new apps

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

I applied via LinkedIn and was interviewed before May 2023. There were 4 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. Linear regression
  • Q2. Probability related questions
  • Q3. Sampling and AB testing
Round 2 - Technical 

(2 Questions)

  • Q1. Backpropagation in neural network
  • Ans. 

    Backpropagation is a method used to train neural networks by adjusting the weights based on the error in the output.

    • Backpropagation involves calculating the gradient of the loss function with respect to the weights of the network.

    • The gradient is then used to update the weights in the opposite direction to minimize the error.

    • This process is repeated iteratively until the network converges to a solution.

    • Backpropagation i...

  • Answered by AI
  • Q2. Clustering (k-means, DB scan)
Round 3 - Coding Test 

1 question on array (sorting related), 1 question on string (hard problem)

Round 4 - Behavioral 

(1 Question)

  • Q1. Behavioral questions
Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

3 Leet code mediums in 30 mins.

Round 2 - Technical 

(3 Questions)

  • Q1. 5 ML questions in 10 mins
  • Q2. 5 Stats question in 10 mins
  • Q3. 3 LC mediums in 30 minutes
  • Ans. 

    LC mediums refer to LeetCode mediums, which are medium difficulty coding problems on the LeetCode platform.

    • LC mediums are coding problems with medium difficulty level on LeetCode platform.

    • Solving 3 LC mediums in 30 minutes requires good problem-solving skills and efficient coding techniques.

    • Examples of LC mediums include 'Longest Substring Without Repeating Characters' and 'Container With Most Water'.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Pray

Target Interview FAQs

How many rounds are there in Target Data Scientist interview?
Target interview process usually has 2 rounds. The most common rounds in the Target interview process are Technical, One-on-one Round and Coding Test.
How to prepare for Target 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 Target. The most common topics and skills that interviewers at Target expect are Python, Machine Learning, SQL, Data Analysis and Forecasting.
What are the top questions asked in Target Data Scientist interview?

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

  1. explain the sequence to sequence models and transform...read more
  2. explain random for...read more
  3. explain Xgbo...read more

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Target Data Scientist Interview Process

based on 2 interviews

Interview experience

1.5
  
Bad
View more
Target Data Scientist Salary
based on 26 salaries
₹9.3 L/yr - ₹30 L/yr
26% more than the average Data Scientist Salary in India
View more details

Target Data Scientist Reviews and Ratings

based on 1 review

4.0/5

Rating in categories

2.0

Skill development

5.0

Work-life balance

3.0

Salary

4.0

Job security

5.0

Company culture

3.0

Promotions

3.0

Work satisfaction

Explore 1 Review and Rating
Sr Data Scientist

Bangalore / Bengaluru

2-8 Yrs

Not Disclosed

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