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Blue Yonder Senior Data Scientist Interview Questions, Process, and Tips

Updated 24 Feb 2025

Blue Yonder Senior Data Scientist Interview Experiences

1 interview found

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I was interviewed in Aug 2024.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Explain back propagation?
  • Q2. Explain batch normalization?
Round 2 - One-on-one 

(2 Questions)

  • Q1. Explain transformer architechure?
  • Q2. How back propagation overtime works?

Interview questions from similar companies

Interview Questionnaire 

4 Questions

  • Q1. Class imbalance
  • Q2. Auditing concepts
  • Q3. Classification problems
  • Q4. Python, excel and SQL
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Nov 2024. There were 3 interview rounds.

Round 1 - HR 

(1 Question)

  • Q1. Basicn details to check for qualifications
Round 2 - Technical 

(1 Question)

  • Q1. About my projects
Round 3 - Technical 

(1 Question)

  • Q1. More details about ML models
Interview experience
3
Average
Difficulty level
Hard
Process Duration
2-4 weeks
Result
No response

I applied via Referral and was interviewed in Jul 2024. There were 3 interview rounds.

Round 1 - HR 

(2 Questions)

  • Q1. Why did you choose infor
  • Ans. 

    I chose Infor because of its reputation for innovative technology solutions and its commitment to employee development.

    • Infor is known for its cutting-edge technology solutions in the industry.

    • I was impressed by Infor's focus on employee growth and development opportunities.

    • I believe Infor's values align with my own professional goals and aspirations.

  • Answered by AI
  • Q2. Explain how you work under stress
  • Ans. 

    I thrive under pressure by staying organized, prioritizing tasks, and maintaining a positive attitude.

    • I stay organized by creating to-do lists and breaking down tasks into manageable steps.

    • I prioritize tasks based on deadlines and importance to ensure that critical work is completed first.

    • I maintain a positive attitude by taking short breaks to recharge, practicing deep breathing exercises, and seeking support from col

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. Everything mentioned on CV
  • Q2. Some coding questions
Round 3 - Technical 

(2 Questions)

  • Q1. Same questions as first interview but deeper approach
  • Q2. Coding is involved again
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(3 Questions)

  • Q1. About projects and then questions related to ML and DL. Mostly focused on DL part
  • Q2. What is the difference between Adam optimizer and Gradient Descent Optimizer?
  • Ans. 

    Adam optimizer is an extension to the Gradient Descent optimizer with adaptive learning rates and momentum.

    • Adam optimizer combines the benefits of both AdaGrad and RMSProp optimizers.

    • Adam optimizer uses adaptive learning rates for each parameter.

    • Gradient Descent optimizer has a fixed learning rate for all parameters.

    • Adam optimizer includes momentum to speed up convergence.

    • Gradient Descent optimizer updates parameters b...

  • Answered by AI
  • Q3. When to use Relu and when not?
  • Ans. 

    Use ReLU for hidden layers in deep neural networks, avoid for output layers.

    • ReLU is commonly used in hidden layers to introduce non-linearity and speed up convergence.

    • Avoid using ReLU in output layers for regression tasks as it can lead to vanishing gradients.

    • Consider using Leaky ReLU or Sigmoid for output layers depending on the task.

    • ReLU is computationally efficient and helps in preventing the vanishing gradient prob...

  • Answered by AI

Skills evaluated in this interview

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

I applied via Referral and was interviewed in Dec 2023. There was 1 interview round.

Round 1 - Technical 

(7 Questions)

  • Q1. Tell me about yourself
  • Q2. Tell me in details about your project. (Mainly the python related project)
  • Q3. Which ML algorithm did you use in your project?
  • Ans. 

    I used the Random Forest algorithm in my project.

    • Random Forest is an ensemble learning method that combines multiple decision trees to make predictions.

    • It is used for both classification and regression tasks.

    • Random Forest reduces overfitting and provides feature importance.

    • Example: I used Random Forest to predict customer churn in a telecom company.

  • Answered by AI
  • Q4. What is Sql? And what is a database?
  • Ans. 

    SQL is a programming language used for managing and manipulating relational databases. A database is a structured collection of data.

    • SQL is used to retrieve, insert, update, and delete data from a database.

    • A database is a software system that stores and organizes data in a structured manner.

    • SQL allows users to define the structure of a database, create tables, and establish relationships between tables.

    • Examples of data

  • Answered by AI
  • Q5. What do you understand by joins in sql?
  • Ans. 

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

    • Joins are used to retrieve data from multiple tables in a single query.

    • Common types of joins include inner join, left join, right join, and full outer join.

    • Joins are performed using the JOIN keyword and specifying the columns to join on.

    • Joins can be used to combine tables based on matching values or non-matching values.

    • ...

  • Answered by AI
  • Q6. Apply join in the above tables (Table was provided by the interviewer)
  • Q7. How many squares are their in a chess box? (Aptitude question)

Interview Preparation Tips

Topics to prepare for Wolters Kluwer Data Science Intern interview:
  • Python
  • Machine Learning
  • Natural Language Processing
  • MySQL
  • Algorithms
Interview preparation tips for other job seekers - The interview was quite hard for me. If you want to prepare you should have good knowledge about python, pandas, ml and nlp. (Hands on experience is what matters most to clear this interview).

Skills evaluated in this interview

Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

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

Round 1 - Coding Test 

I was told about the screening round and the interviewer came with bunch of coding questions which In my opinion I did good. But got rejected.

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Dec 2023. There were 3 interview rounds.

Round 1 - Coding Test 

Standard question from sql and python in hackerrank

Round 2 - Technical 

(2 Questions)

  • Q1. Reverse a linked list
  • Ans. 

    Reverse a linked list by changing the direction of pointers

    • Start with three pointers: current, previous, and next

    • Iterate through the linked list, updating pointers to reverse the direction

    • Return the new head of the reversed linked list

  • Answered by AI
  • Q2. Question based on joins and subquery
Round 3 - HR 

(2 Questions)

  • Q1. More question about project
  • Q2. What do you know about genAI

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep it simple and be honest

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Asked about some machine learning concepts like NLP, TensorFlow etc

Interview Questionnaire 

4 Questions

  • Q1. Class imbalance
  • Q2. Auditing concepts
  • Q3. Classification problems
  • Q4. Python, excel and SQL

Blue Yonder Interview FAQs

How many rounds are there in Blue Yonder Senior Data Scientist interview?
Blue Yonder interview process usually has 2 rounds. The most common rounds in the Blue Yonder interview process are One-on-one Round.
How to prepare for Blue Yonder Senior 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 Blue Yonder. The most common topics and skills that interviewers at Blue Yonder expect are Python, C++, Machine Learning, SAAS and Supply Chain.
What are the top questions asked in Blue Yonder Senior Data Scientist interview?

Some of the top questions asked at the Blue Yonder Senior Data Scientist interview -

  1. How back propagation overtime wor...read more
  2. Explain transformer architechu...read more
  3. Explain back propagati...read more

Tell us how to improve this page.

Blue Yonder Senior Data Scientist Interview Process

based on 1 interview

Interview experience

3
  
Average
View more
Join Blue Yonder Innovative supply chain solutions.

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Blue Yonder Senior Data Scientist Salary
based on 29 salaries
₹21 L/yr - ₹44 L/yr
18% more than the average Senior Data Scientist Salary in India
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4.1/5

Rating in categories

3.9

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4.3

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Job security

4.2

Company culture

3.6

Promotions

3.8

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