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HTC Global Services Data Scientist Interview Questions and Answers for Experienced

Updated 11 Oct 2023

HTC Global Services Data Scientist Interview Experiences for Experienced

1 interview found

Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Company Website and was interviewed in Aug 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 - One-on-one 

(1 Question)

  • Q1. Concepts and tools
Round 3 - Coding Test 

Coding on the tools we use

Round 4 - HR 

(1 Question)

  • Q1. Not cleared the round

Interview Preparation Tips

Interview preparation tips for other job seekers - not clear

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

Interview Questionnaire 

1 Question

  • Q1. Basic ML

I applied via Company Website and was interviewed before Jan 2020. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Which job gives me do that work because of this job very important to me

Interview Preparation Tips

Interview preparation tips for other job seekers - No adive

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
Not Selected

I applied via Recruitment Consulltant and was interviewed in May 2023. 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 tips
Round 2 - Technical 

(3 Questions)

  • Q1. Questions on Python datatypes, class, object, inheritance,
  • Q2. Machine learning algorithms
  • Ans. 

    Machine learning algorithms are used to train models on data to make predictions or decisions.

    • Supervised learning algorithms include linear regression, decision trees, and neural networks.

    • Unsupervised learning algorithms include clustering and dimensionality reduction.

    • Reinforcement learning algorithms involve learning through trial and error.

    • Examples of machine learning applications include image recognition, natural l

  • Answered by AI
  • Q3. Sql queries and python coding questions
Round 3 - One-on-one 

(1 Question)

  • Q1. Related to project

Skills evaluated in this interview

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.

HTC Global Services Interview FAQs

How many rounds are there in HTC Global Services Data Scientist interview for experienced candidates?
HTC Global Services interview process for experienced candidates usually has 4 rounds. The most common rounds in the HTC Global Services interview process for experienced candidates are Resume Shortlist, One-on-one Round and Coding Test.
How to prepare for HTC Global Services Data Scientist interview for experienced candidates?
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 HTC Global Services. The most common topics and skills that interviewers at HTC Global Services expect are Python, Artificial Intelligence, Machine Learning, Natural Language Processing and Algorithms.
What are the top questions asked in HTC Global Services Data Scientist interview for experienced candidates?

Some of the top questions asked at the HTC Global Services Data Scientist interview for experienced candidates -

  1. not cleared the ro...read more
  2. data science related ar...read more
  3. questions based on case st...read more

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HTC Global Services Data Scientist Interview Process for Experienced

based on 1 interview

Interview experience

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HTC Global Services Data Scientist Salary
based on 23 salaries
₹3.9 L/yr - ₹15 L/yr
38% less than the average Data Scientist Salary in India
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HTC Global Services Data Scientist Reviews and Ratings

based on 5 reviews

3.2/5

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2.6

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3.2

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2.6

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3.1

Job security

3.2

Company culture

2.6

Promotions

2.9

Work satisfaction

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