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Dunnhumby Senior Data Scientist Interview Questions, Process, and Tips

Updated 4 Sep 2024

Top Dunnhumby Senior Data Scientist Interview Questions and Answers

  • Q1. You are working in a project, where your approach towards problem is more innovative while the rest of the team is following conventional approach. how will you convince ...read more
  • Q2. Who is more valuable a customer who is making small transactions everyday or the customer who makes big transactions in a month
  • Q3. How will you find loyal customers for a store like DMart , SmartBazar

Dunnhumby Senior Data Scientist Interview Experiences

3 interviews found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Technical 

(5 Questions)

  • Q1. How will you find loyal customers for a store like DMart , SmartBazar
  • Ans. 

    Utilize customer transaction data and behavior analysis to identify loyal customers for DMart and SmartBazar.

    • Use customer transaction history to identify frequent shoppers

    • Analyze customer behavior patterns such as repeat purchases and average spend

    • Implement loyalty programs to incentivize repeat purchases

    • Utilize customer feedback and reviews to gauge loyalty

    • Segment customers based on their shopping habits and preferenc

  • Answered by AI
  • Q2. Who is more valuable a customer who is making small transactions everyday or the customer who makes big transactions in a month
  • Ans. 

    It depends on the business model and goals of the company.

    • Small transactions everyday can lead to consistent revenue streams and customer engagement.

    • Big transactions in a month can indicate high purchasing power and potential for larger profits.

    • Consider customer lifetime value, retention rates, and overall business strategy when determining value.

  • Answered by AI
  • Q3. What will you do as a data scientist if the sales of a store is declining
  • Ans. 

    I would conduct a thorough analysis of the sales data to identify trends and potential causes of the decline.

    • Review historical sales data to identify patterns or seasonality

    • Conduct customer surveys or interviews to gather feedback

    • Analyze competitor data to understand market dynamics

    • Implement predictive modeling to forecast future sales

    • Collaborate with marketing team to develop targeted strategies

  • Answered by AI
  • Q4. We have to bundle the items together in the units of 2-3 as a single units like chips of 3 packets together. how to identify which items to bundle and number of units. Create a machine learning model for i...
  • Q5. You are working in a project, where your approach towards problem is more innovative while the rest of the team is following conventional approach. how will you convince them to follow your approach.
  • Ans. 

    I would showcase the potential benefits and results of my innovative approach to convince the team.

    • Highlight the advantages of the innovative approach such as improved efficiency, accuracy, or cost-effectiveness.

    • Provide real-world examples or case studies where similar innovative approaches have led to successful outcomes.

    • Encourage open discussion and collaboration within the team to explore the potential of combining ...

  • Answered by AI
Round 2 - Case Study 

1. A store has promotional offers how will you analyse that offers are working in their favour.
2. What data will you require if you want to predict the sales of the chocolate in a store.
3. Why data is distributed normally in linear regression.
4. Difference between linear and logistic regression
5. A person who is senior to you and you are working on the same project. But that person has very bad reputation of misbehaving and being rude to people. And he is doing same with you. What will you do?

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare case study a lot. Both round were mainly revolving around case study and situational HR questions. Coding questions were not asked a lot. only few that too were quite easy.

Skills evaluated in this interview

Round 1 - Coding Test 

Basic Python , numpy and pandas MCQ and easy coding question

Round 2 - Technical 

(2 Questions)

  • Q1. Question from CV and explanation of machine algo used
  • Q2. Basic SQL questions.
Round 3 - Case Study 

Basic ML Case interview. Asked to find "How check if a promotion was successful"

Interview Preparation Tips

Interview preparation tips for other job seekers - Go through the CV thoroughly and brush up on SQL

Senior Data Scientist Interview Questions Asked at Other Companies

Q1. What is the difference between logistic and linear regression?
asked in SAP
Q2. Count all pairs of numbers from a list where the ending digit of ... read more
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Q3. Print rows where a certain criterion is met (ex - in a dataset of ... read more
asked in Kyndryl
Q4. Extract only India Players from dictionary (using list comprehens ... read more
Q5. How do you handle large amount of data in financial domain?
Interview experience
5
Excellent
Difficulty level
-
Process Duration
2-4 weeks
Result
-

I was interviewed before Mar 2023.

Round 1 - Technical 

(2 Questions)

  • Q1. Mostly about projects
  • Q2. What value the projects drive

Interview questions from similar companies

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

I applied via Naukri.com and was interviewed before May 2023. There was 1 interview round.

Round 1 - Technical 

(3 Questions)

  • Q1. Describe one of your projects?
  • Q2. Where have you implemented the customer analytics?
  • Ans. 

    I have implemented customer analytics in various industries including e-commerce and retail.

    • Implemented customer segmentation analysis to identify different customer groups based on behavior and preferences

    • Utilized predictive modeling techniques to forecast customer lifetime value and likelihood of churn

    • Developed recommendation systems to personalize product offerings and improve customer engagement

    • Used A/B testing to ...

  • Answered by AI
  • Q3. Which cloud services have you used for deploying the solutions?
  • Ans. 

    I have experience deploying solutions on AWS, Azure, and Google Cloud Platform.

    • AWS (Amazon Web Services)

    • Azure

    • Google Cloud Platform

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared with your projects and its highlights

Skills evaluated in this interview

I applied via Referral and was interviewed before Feb 2021. There were 3 interview rounds.

Round 1 - Coding Test 

Sql and basis python

Round 2 - Case Study 

Business related case study

Round 3 - One-on-one 

(1 Question)

  • Q1. Previous Project discussion

Interview Preparation Tips

Interview preparation tips for other job seekers - Be good with sql and your project experience
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

20 MCQ questions related to Data science and 1 coding ML question.

Round 2 - Technical 

(2 Questions)

  • Q1. What is overfitting and underfitting?
  • Ans. 

    Overfitting and underfitting are common problems in machine learning where a model performs too well on training data but poorly on unseen data, or performs poorly on both training and unseen data due to oversimplification.

    • Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern, leading to poor generalization on unseen data.

    • Underfitting happens when a model is too simple...

  • Answered by AI
  • Q2. What is K-fold CV?
  • Ans. 

    K-fold CV is a technique used to evaluate the performance of a machine learning model by splitting the data into k subsets.

    • Data is divided into k subsets, with one subset used as the validation set and the rest as training sets.

    • The process is repeated k times, with each subset used once as the validation data.

    • The average of the k validation results is used as the final performance metric.

    • Helps in reducing bias and vari...

  • Answered by AI

Skills evaluated in this interview

Senior Data Scientist Interview Questions & Answers

Mu Sigma user image Mahalakshmi Subramanian

posted on 19 Apr 2024

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-

I applied via Campus Placement

Round 1 - Aptitude Test 

It was brain teasing and more of stats

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Feb 2023. 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 tips
Round 2 - Coding Test 

Basic coding questions related to data science

Round 3 - One-on-one 

(1 Question)

  • Q1. How to handle imbalanced data in text analytics?
  • Ans. 

    Imbalanced data in text analytics can be handled by techniques like oversampling, undersampling, and SMOTE.

    • Use oversampling to increase the number of instances in the minority class

    • Use undersampling to decrease the number of instances in the majority class

    • Use SMOTE to generate synthetic samples for the minority class

    • Use cost-sensitive learning algorithms to assign higher misclassification costs to the minority class

    • Use...

  • Answered by AI
Round 4 - One-on-one 

(1 Question)

  • Q1. Business case study related to Data science

Interview Preparation Tips

Topics to prepare for Tiger Analytics Senior Data Scientist interview:
  • NLP
Interview preparation tips for other job seekers - Since coding is also related to data science would say be confident in all DS-related concepts. Also don't miss out on any concepts in your resume.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Aug 2024. There were 3 interview rounds.

Round 1 - Coding Test 

Python Coding Questions with

Round 2 - Coding Test 

Bubble sort example Question using python

Round 3 - Case Study 

Previous projects based questions

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

The coding round was relatively easy. A sufficient amount of preparation on LeetCode should be beneficial, along with reviewing the sample questions.

Round 2 - Technical 

(2 Questions)

  • Q1. All theoretical questions about Linear Regression
  • Q2. Past projects

Dunnhumby Interview FAQs

How many rounds are there in Dunnhumby Senior Data Scientist interview?
Dunnhumby interview process usually has 2 rounds. The most common rounds in the Dunnhumby interview process are Technical, Case Study and Coding Test.
What are the top questions asked in Dunnhumby Senior Data Scientist interview?

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

  1. You are working in a project, where your approach towards problem is more innov...read more
  2. Who is more valuable a customer who is making small transactions everyday or th...read more
  3. How will you find loyal customers for a store like DMart , SmartBa...read more

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Dunnhumby Senior Data Scientist Interview Process

based on 2 interviews

Interview experience

5
  
Excellent
View more
Dunnhumby Senior Data Scientist Salary
based on 50 salaries
₹9 L/yr - ₹28 L/yr
34% less than the average Senior Data Scientist Salary in India
View more details

Dunnhumby Senior Data Scientist Reviews and Ratings

based on 10 reviews

3.0/5

Rating in categories

2.3

Skill development

3.9

Work-life balance

3.1

Salary

3.6

Job security

2.9

Company culture

2.3

Promotions

2.7

Work satisfaction

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