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Publicis Sapient Data Science Manager Interview Questions and Answers

Updated 20 Jul 2021

Publicis Sapient Data Science Manager Interview Experiences

1 interview found

I applied via Recruitment Consultant and was interviewed before Jul 2020. There were 4 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. What is skewness
  • Ans. 

    Skewness is a measure of the asymmetry of a probability distribution.

    • Positive skewness means the tail of the distribution is longer on the positive side.

    • Negative skewness means the tail of the distribution is longer on the negative side.

    • A perfectly symmetrical distribution has a skewness of 0.

    • Skewness can affect the interpretation of statistical analyses.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Study statistics

Interview questions from similar companies

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

I applied via Campus Placement

Round 1 - Aptitude Test 

It was related to Aptitude MCQ and 2-coding test

Round 2 - Technical 

(3 Questions)

  • Q1. Palindrome of a number
  • Ans. 

    A palindrome of a number is a number that remains the same when its digits are reversed.

    • To check if a number is a palindrome, reverse the number and compare it with the original number.

    • Examples: 121 is a palindrome, 123 is not a palindrome.

  • Answered by AI
  • Q2. Merge 2linked list
  • Ans. 

    Merging two linked lists involves combining the elements of both lists into a single list.

    • Create a new linked list to store the merged elements

    • Traverse through both linked lists and add elements to the new list

    • Handle cases where one list is longer than the other

  • Answered by AI
  • Q3. About projects you have done
Round 3 - HR 

(2 Questions)

  • Q1. Explain your resume fully
  • Q2. General questions on the behaviour

Skills evaluated in this interview

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

(2 Questions)

  • Q1. Describe projects
  • Ans. 

    I have worked on projects involving predictive modeling, natural language processing, and machine learning algorithms.

    • Developed a predictive model to forecast customer churn for a telecom company

    • Implemented sentiment analysis using NLP techniques on social media data

    • Utilized machine learning algorithms to classify spam emails

  • Answered by AI
  • Q2. Deep dived into every skill

Interview Preparation Tips

Interview preparation tips for other job seekers - Dont opt for bosch

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Publicis Sapient Data Science Manager Salary
based on 22 salaries
₹33.6 L/yr - ₹50 L/yr
18% more than the average Data Science Manager Salary in India
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