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Procter & Gamble Data Scientist Interview Questions and Answers

Updated 19 Mar 2024

Procter & Gamble Data Scientist Interview Experiences

2 interviews found

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

It has behavioural and ability to focus rounds where behavioural have several questions repeated in different forms and answers in different categories. Choose extreme ones, it shows your confidence and clarify

Round 3 - Technical 

(3 Questions)

  • Q1. More about the projects
  • Q2. What were the innovative ideas you thought
  • Q3. How would you calculate impact of a project
  • Ans. 

    Calculate impact of a project by analyzing key metrics and outcomes.

    • Identify key metrics to measure impact such as revenue, cost savings, customer satisfaction, etc.

    • Quantify the baseline performance before the project and compare it to the performance after the project.

    • Use statistical analysis to determine the significance of the project's impact.

    • Consider both short-term and long-term effects of the project.

    • Seek feedba...

  • Answered by AI
Interview experience
3
Average
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Sep 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

Some standard test and aptitude test everyone has to take before being shortlisted for itnerview

Round 2 - Technical 

(2 Questions)

  • Q1. Name github commands
  • Ans. 

    GitHub commands are used to interact with repositories on GitHub platform.

    • git clone : Clone a repository to your local machine

    • git add : Add a file to the staging area

    • git commit -m 'commit message': Commit changes to the repository

    • git push origin : Push changes to a remote repository

    • git pull origin : Pull changes from a remote repository

Answered by AI
  • Q2. DE questions like how to you deploy
  • Interview Preparation Tips

    Interview preparation tips for other job seekers - the interview was from the DE team and he asked more on automation rather than ds knowledge.

    Skills evaluated in this interview

    Data Scientist Interview Questions Asked at Other Companies

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    Interview questions from similar companies

    Interview experience
    5
    Excellent
    Difficulty level
    -
    Process Duration
    -
    Result
    -
    Round 1 - One-on-one 

    (4 Questions)

    • Q1. Project Related
    • Q2. Challenges Faced
    • Ans. 

      Handling large volumes of data, ensuring data quality, and interpreting complex data.

      • Dealing with unstructured data from various sources

      • Ensuring data quality and accuracy through data cleaning and preprocessing

      • Interpreting complex data and deriving meaningful insights

      • Implementing machine learning algorithms to analyze data

      • Communicating findings to non-technical stakeholders

    • Answered by AI
    • Q3. Basic Stats Questions
    • Q4. Ml Concepts and Basics of Deep Learning

    I applied via Naukri.com and was interviewed in Apr 2021. There were 4 interview rounds.

    Interview Questionnaire 

    1 Question

    • Q1. Centroid activation function
    • Ans. 

      Centroid activation function is used in clustering algorithms to determine the centroid of a cluster.

      • Centroid activation function is used in unsupervised learning algorithms like K-means clustering.

      • It calculates the centroid of a cluster by taking the mean of all the data points in the cluster.

      • The function is used to update the centroid in each iteration of the clustering algorithm.

      • It is a simple and efficient way to f

    • Answered by AI

    Interview Preparation Tips

    Interview preparation tips for other job seekers - Asking To deep If your flow wrong

    Skills evaluated in this interview

    Interview experience
    5
    Excellent
    Difficulty level
    -
    Process Duration
    -
    Result
    -
    Round 1 - One-on-one 

    (4 Questions)

    • Q1. Project Related
    • Q2. Challenges Faced
    • Ans. 

      Handling large volumes of data, ensuring data quality, and interpreting complex data.

      • Dealing with unstructured data from various sources

      • Ensuring data quality and accuracy through data cleaning and preprocessing

      • Interpreting complex data and deriving meaningful insights

      • Implementing machine learning algorithms to analyze data

      • Communicating findings to non-technical stakeholders

    • Answered by AI
    • Q3. Basic Stats Questions
    • Q4. Ml Concepts and Basics of Deep Learning
    Interview experience
    4
    Good
    Difficulty level
    Moderate
    Process Duration
    2-4 weeks
    Result
    Not Selected

    I applied via Company Website and was interviewed before Dec 2022. There were 2 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. How do you use your creativity and technical knowledge to solve problems at your work place?
    Interview experience
    5
    Excellent
    Difficulty level
    Moderate
    Process Duration
    More than 8 weeks
    Result
    Selected Selected

    I applied via campus placement at Manipal College of Pharmaceutical Sciences (MCOPS), Manipal and was interviewed before Feb 2023. There was 1 interview round.

    Round 1 - Technical 

    (1 Question)

    • Q1. Principles of colorimetry, details of masters project, in depth discussion of controlled and sustained release drug delivery systems

    Interview Questionnaire 

    2 Questions

    • Q1. Why we need to method validation
    • Ans. 

      Method validation ensures accuracy, precision, and reliability of analytical results.

      • To ensure that the method is suitable for its intended use

      • To ensure that the method is accurate, precise, and reliable

      • To comply with regulatory requirements

      • To minimize the risk of producing incorrect results

      • To ensure consistency in results over time and across different laboratories

      • Examples: validation of analytical methods used in pha...

    • Answered by AI
    • Q2. You should know regulatory guidelines

    Interview Preparation Tips

    Interview preparation tips for other job seekers - Try to lean basic skill related to analytical research

    I applied via Company Website and was interviewed in Apr 2021. There were 3 interview rounds.

    Interview Questionnaire 

    1 Question

    • Q1. Situational questions about how would you handle failures with examples from the past experience, how would you resolve conflicts and say no to the stakeholders if some time line is not feasible, etc.

    Interview Preparation Tips

    Interview preparation tips for other job seekers - Be thorough about your current role, Colgate doesn't very well accept job hopping, they might ask questions related to frequent job changes.

    I applied via Naukri.com and was interviewed in Apr 2021. There were 4 interview rounds.

    Interview Questionnaire 

    1 Question

    • Q1. Centroid activation function
    • Ans. 

      Centroid activation function is used in clustering algorithms to determine the centroid of a cluster.

      • Centroid activation function is used in unsupervised learning algorithms like K-means clustering.

      • It calculates the centroid of a cluster by taking the mean of all the data points in the cluster.

      • The function is used to update the centroid in each iteration of the clustering algorithm.

      • It is a simple and efficient way to f

    • Answered by AI

    Interview Preparation Tips

    Interview preparation tips for other job seekers - Asking To deep If your flow wrong

    Skills evaluated in this interview

    Procter & Gamble Interview FAQs

    How many rounds are there in Procter & Gamble Data Scientist interview?
    Procter & Gamble interview process usually has 2-3 rounds. The most common rounds in the Procter & Gamble interview process are Aptitude Test, Technical and Resume Shortlist.
    How to prepare for Procter & Gamble 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 Procter & Gamble. The most common topics and skills that interviewers at Procter & Gamble expect are Python, C++, Data Science, MATLAB and Data Analysis.
    What are the top questions asked in Procter & Gamble Data Scientist interview?

    Some of the top questions asked at the Procter & Gamble Data Scientist interview -

    1. How would you calculate impact of a proj...read more
    2. name github comma...read more
    3. DE questions like how to you dep...read more

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    Procter & Gamble Data Scientist Interview Process

    based on 2 interviews

    Interview experience

    3.5
      
    Good
    View more

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    ₹22.9 L/yr - ₹70 L/yr
    162% more than the average Data Scientist Salary in India
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