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Teleperformance Data Scientist Interview Questions and Answers

Updated 19 Apr 2024

Teleperformance Data Scientist Interview Experiences

1 interview found

Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Apr 2023. There were 2 interview rounds.

Round 1 - Case Study 

Normal Case study regarding Predictive modelling

Round 2 - Technical 

(2 Questions)

  • Q1. Ml Related questions
  • Q2. Basic ML and Project related questions

Interview questions from similar companies

I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Nothing much technical

Interview Preparation Tips

Interview preparation tips for other job seekers - 1. Go in formals
2. Fluency in English is important (depends on interview panel)
3. Clarity on what your talking about

I applied via Job Portal and was interviewed in Jan 2021. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Basic Hypothesis Understanding !
  • Q2. Apache Spark and Data Frames

Interview Preparation Tips

Interview preparation tips for other job seekers - Ask clearly for job role they said data scientist but currently I am doing MLOPS

Interview Questionnaire 

1 Question

  • Q1. What PCA, Decision tree and computer vision
  • Ans. 

    PCA is a dimensionality reduction technique, decision tree is a classification algorithm, and computer vision is a field of study focused on enabling computers to interpret and understand visual information.

    • PCA is used to reduce the number of variables in a dataset while retaining the most important information.

    • Decision trees are used to classify data based on a set of rules and conditions.

    • Computer vision involves usin...

  • Answered by AI

Skills evaluated in this interview

Interview Questionnaire 

1 Question

  • Q1. Please tell me something about yourself.What is your experience? What are your goals and ambitions?Why We should hire you? Strengths and weaknesses etc.

I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. What is data science
  • Ans. 

    Data science is the field of extracting insights and knowledge from data using various techniques and tools.

    • Data science involves collecting, cleaning, and analyzing data to extract insights.

    • It uses various techniques such as machine learning, statistical modeling, and data visualization.

    • Data science is used in various fields such as finance, healthcare, and marketing.

    • Examples of data science applications include fraud...

  • Answered by AI
  • Q2. What is phyton and R
  • Ans. 

    Python and R are programming languages commonly used in data science and statistical analysis.

    • Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.

    • R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.

    • Both languages are popular choices for data scientists and hav...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Provide the tips how to face the interview

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Mar 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Assessment was given and I was asked to explain about the steps and procedures carried out and few basic questions on my assessment was asked
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Apr 2022. There were 3 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 Resume tips
Round 2 - Case Study 

DS related Case study and discussion

Round 3 - Coding Test 

Python code example test where they will ask basic python or sql questions.

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared with statistics and previous projects that you have worked on.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

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

Round 1 - Technical 

(1 Question)

  • Q1. What is linear regression? How to process data? Explain KLM algorithm.
  • Ans. 

    Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.

    • Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.

    • It assumes a linear relationship between the independent and dependent variables.

    • The goal of linear regression is to find the best-fitting line that minimi...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare for ml algorithms, mostly focus on linear regression

Skills evaluated in this interview

Interview Questionnaire 

1 Question

  • Q1. First Round: Basic Statistics, Basic Python Programming, Past Projects. Second Round: Past Projects, Questions from computer vision, NLP, SQL, Basic Python.
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Teleperformance Interview FAQs

How many rounds are there in Teleperformance Data Scientist interview?
Teleperformance interview process usually has 2 rounds. The most common rounds in the Teleperformance interview process are Case Study and Technical.
How to prepare for Teleperformance 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 Teleperformance. The most common topics and skills that interviewers at Teleperformance expect are Machine Learning, Data Science, Python, Image Processing and Neural Networks.
What are the top questions asked in Teleperformance Data Scientist interview?

Some of the top questions asked at the Teleperformance Data Scientist interview -

  1. Basic ML and Project related questi...read more
  2. Ml Related questi...read more

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Teleperformance Data Scientist Interview Process

based on 1 interview

Interview experience

4
  
Good
View more
Teleperformance Data Scientist Salary
based on 53 salaries
₹6 L/yr - ₹12 L/yr
45% less than the average Data Scientist Salary in India
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3.8/5

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3.7

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4.3

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Company culture

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Promotions

3.6

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