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Infiniti Research Data Scientist Interview Questions and Answers

Updated 13 Oct 2021

Infiniti Research Data Scientist Interview Experiences

1 interview found

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

Interview Questionnaire 

1 Question

  • Q1. Difference between loss function and cost function.
  • Ans. 

    Loss function measures the error for a single training example, while cost function measures the average error for the entire training set.

    • Loss function is used to optimize the model parameters during training.

    • Cost function is used to evaluate the performance of the model after training.

    • Loss function is typically defined for a single training example.

    • Cost function is typically defined for the entire training set.

    • Exampl...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - It was held by online video conference and bit good one.

Skills evaluated in this interview

Data Scientist Jobs at Infiniti Research

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Interview questions from similar companies

Interview Preparation Tips

Round: technical interview
Experience: There were 3 rounds, All related to statistics and machine learning and whatever stuffs I had mentioned in my resume. HR round was not there. The partner of the firm just briefed me a bit about the company and asked me to relax without asking any questions in the third round.

Tips: Interview will be fun if you are thorough about your resume and it will be a cakewalk to you.

General Tips: Do's :
1. Prepare for Aptitude very seriously. Puzzles are important but aptitude is must.
2. Be thorough about everything you had specified in your resume
3. Be honest while creating your resume (It helps a lot)

Don'ts :
1. Don't get broken if you are not getting selected in Day 1 or 2 or so.
2. Don't over-prepare for case interviews, they are fairly simple.



Final Tips :
Be confident about yourself. Your attitude in the interview matters a lot. And don't lie even a bit in your resume. Many got selected with a poor resume than those with huge exaggerations.

College Name: IIT Kanpur

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

I applied via Naukri.com and was interviewed before Jun 2023. There were 3 interview rounds.

Round 1 - Case Study 

Marketing case study

Round 2 - Case Study 

Ops case study for plant set up

Round 3 - HR 

(1 Question)

  • Q1. Salary expectation
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Sep 2023. There were 3 interview rounds.

Round 1 - Case Study 

Simple Data Science Case Study

Round 2 - Technical 

(1 Question)

  • Q1. Python knowledge related questions
Round 3 - Case Study 

Data Science Case Study

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Machine Learning, Metrics

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. ML, DL, Data Science, Python
Round 2 - Technical 

(1 Question)

  • Q1. AI,ML, Data Science, Use cases
Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(3 Questions)

  • Q1. What is Linear regression
  • 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
  • Q2. What li list and tuple
  • Ans. 

    List and tuple are both data structures in Python, but list is mutable while tuple is immutable.

    • List is denoted by square brackets [] while tuple is denoted by parentheses ().

    • Elements in a list can be changed, added, or removed, while elements in a tuple cannot be changed once defined.

    • Lists are used when you need a collection of items that may change, while tuples are used for fixed collections of items.

    • Example: list =

  • Answered by AI
  • Q3. Previous company project experience
  • Ans. 

    Developed a predictive analytics model to forecast customer churn for a telecom company.

    • Utilized machine learning algorithms such as logistic regression and random forests

    • Cleaned and preprocessed large datasets to improve model accuracy

    • Collaborated with cross-functional teams to gather domain knowledge and insights

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Oct 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Combination logic on python

Round 2 - Technical 

(1 Question)

  • Q1. Explain classification
  • Ans. 

    Classification is a machine learning technique used to categorize data into different classes or categories based on past observations.

    • Classification involves training a model on labeled data to predict the class of new, unseen data points.

    • Common algorithms for classification include logistic regression, decision trees, support vector machines, and k-nearest neighbors.

    • Examples of classification tasks include spam email...

  • Answered by AI
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(4 Questions)

  • Q1. What is stemming and lematization
  • Ans. 

    Stemming and lemmatization are techniques used in natural language processing to reduce words to their base or root form.

    • Stemming is a process of reducing words to their base form by removing suffixes.

    • Lemmatization is a process of reducing words to their base form by considering the context and part of speech.

    • Stemming is faster but may not always produce a valid word, while lemmatization is slower but produces valid wo...

  • Answered by AI
  • Q2. Python coding about default values in class and funtions
  • Q3. Kmeans clustering evaluation
  • Q4. How to measure multicollinearity
  • Ans. 

    Multicollinearity can be measured using correlation matrix, variance inflation factor (VIF), or eigenvalues.

    • Calculate the correlation matrix to identify highly correlated variables.

    • Use the variance inflation factor (VIF) to quantify the extent of multicollinearity.

    • Check for high eigenvalues in the correlation matrix, indicating multicollinearity.

    • Consider using dimensionality reduction techniques like principal componen

  • Answered by AI

Infiniti Research Interview FAQs

How to prepare for Infiniti Research 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 Infiniti Research. The most common topics and skills that interviewers at Infiniti Research expect are Python, Machine Learning, SQL, Data Science and Predictive Modeling.

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Infiniti Research Data Scientist Salary
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₹5 L/yr - ₹17 L/yr
17% less than the average Data Scientist Salary in India
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