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Mu Sigma Senior Data Scientist Interview Questions and Answers

Updated 19 Apr 2024

Mu Sigma Senior Data Scientist Interview Experiences

1 interview found

Senior Data Scientist Interview Questions & Answers

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 questions from similar companies

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

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

I applied via Recruitment Consulltant and was interviewed in Dec 2023. There were 4 interview rounds.

Round 1 - Aptitude Test 

It was MCQ in simple aptitude, python and SQL questions

Round 2 - Technical 

(2 Questions)

  • Q1. Python coding and explaination
  • Q2. SQL coding and explaination
Round 3 - Technical 

(1 Question)

  • Q1. Case study based on data understanding
Round 4 - One-on-one 

(1 Question)

  • Q1. Behavioural and questions from my resume
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Coding Test 

SQL, Python coding …

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

Logical reasoning, deduction reasoning

Round 2 - Technical 

(2 Questions)

  • Q1. Basic DSA leetcode easy and medium , arrays and hashmaps and LRU cache
  • Q2. SQL queries and DBMS questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Revise DBMS and SQL and it is required
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

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

Round 1 - One-on-one 

(2 Questions)

  • Q1. Explain the RAG pipeline?
  • Ans. 

    RAG pipeline is a data processing pipeline used in data science to categorize data into Red, Amber, and Green based on certain criteria.

    • RAG stands for Red, Amber, Green which are used to categorize data based on certain criteria

    • Red category typically represents data that needs immediate attention or action

    • Amber category represents data that requires monitoring or further investigation

    • Green category represents data that...

  • Answered by AI
  • Q2. Explain Confusion metrics
  • Ans. 

    Confusion metrics are used to evaluate the performance of a classification model by comparing predicted values with actual values.

    • Confusion matrix is a table that describes the performance of a classification model.

    • It consists of four different metrics: True Positive, True Negative, False Positive, and False Negative.

    • These metrics are used to calculate other evaluation metrics like accuracy, precision, recall, and F1 s...

  • Answered by AI

Skills evaluated in this interview

Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

DSA and ML, AI, Coding question

Round 2 - One-on-one 

(1 Question)

  • Q1. Case study which was easy
Round 3 - One-on-one 

(1 Question)

  • Q1. In depth questions on ML
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
Selected Selected

I applied via Campus Placement and was interviewed before Mar 2023. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Puzzles, problem solving statement (available in gfg)
Round 2 - Technical 

(2 Questions)

  • Q1. Questions from project mentioned in resume
  • Q2. SQL, algorithms basic questions (algos used in the project)
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
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

General python questions

Mu Sigma Interview FAQs

How many rounds are there in Mu Sigma Senior Data Scientist interview?
Mu Sigma interview process usually has 1 rounds. The most common rounds in the Mu Sigma interview process are Aptitude Test.

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Mu Sigma Senior Data Scientist Interview Process

based on 1 interview

Interview experience

5
  
Excellent
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₹12 L/yr - ₹15.5 L/yr
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