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MathCo Data Scientist Interview Questions and Answers

Updated 10 Oct 2024

MathCo Data Scientist Interview Experiences

2 interviews found

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

I applied via Hirect and was interviewed in May 2022. There were 5 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 - Aptitude Test 

Basic python sql questions, mcq based and coding questions.

Round 3 - Technical 

(1 Question)

  • Q1. They asked the projects which I am working on and had discussion on the same. Asked few statistical questions like boxplots and normal distribution. Also asked basic questions on advance SQL
Round 4 - Behavioral 

(1 Question)

  • Q1. Problem solving questions. Gave a case study to check presence of mind
Round 5 - HR 

(1 Question)

  • Q1. Basic salary discussion

Interview Preparation Tips

Topics to prepare for MathCo Data Scientist interview:
  • SQL
  • python
Interview preparation tips for other job seekers - Just be appropriate in tech round and managerial round
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

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

Round 1 - Coding Test 

Python sql basic questions

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Interview questions from similar companies

Interview Questionnaire 

1 Question

  • Q1. What friends think of you?
  • Ans. 

    My friends think of me as reliable, supportive, and always up for a good time.

    • Reliable - always there when they need help or support

    • Supportive - willing to listen and offer advice

    • Fun-loving - enjoys socializing and trying new things

  • Answered by AI

Interview Preparation Tips

Round: Resume Shortlist
Experience: After Resume Shortlist we had an aptitute round.
Tips: Answer according to your own judgement. Dont try to be too precise.

Round: HR Interview
Experience: I said they think I am a workaholic as I prefer to complete my work before chilling with them.

College Name: NIT Durgapur

Interview Preparation Tips

Round: HR Interview
Experience: Interview at 11 pm. Stressed environment, close to stress interview.
SELECTION PROCEDURE:
1.Online Test
2. GD
3. PI(HR)
GD TOPICS :
Topic 1 : How can education system benefit from interdisciplinary methods.
Topic 2 : Interconnected problems in the field of movie making.
INTERVIEW EXPERIENCE:
So you can speak German? Describe MS Dhoni in german. They opened Google Translate to counter check the words they wanted to be translated in both Deutsch and Spanish. Your profile speaks of an inclination towards software skills, why do you want to join an analytics company? Justify your action in two reasons as to why are you sitting here interviewing for the post of a data scientist rather than apply for a software engineer when this CV speaks highly of computer science? What is Finite Element Method? Explain. How relevant is your work in Computer Vision? Breakdown the tagline of Audi and translate accordingly. What is "Technik für Mobel" ? What are your current projects? Answer : Microsoft Xbox Kinect, Gesture Recognition. Counter question : But at Musimga you'd be doing far simpler stuff.? Counter suggestion : Why don't you go for MS?


Tips: Keep your cool during counter questions. Prepare your profile and CV well. Rest all is your hard work and groomed personal talents and acquired skills you learnt over the internet.

Skills: Ability To Cope Up With Stress, Spanish, German, Finite Element Modeling - FEM, Foreign Language
College Name: NIT Raipur
Funny Moments: Another HR enters in the midst of my interview and asks with bewildered amazement : What language is he speaking?
The other HR, "German".

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

General aptitude basics

Round 2 - Coding Test 

Mcq and basic ml model building

Interview Preparation Tips

Interview preparation tips for other job seekers - Stay calm and enjoy the process
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

I applied via Approached by Company

Round 1 - Technical 

(3 Questions)

  • Q1. Explain Transformers how different from previous RNN, LSTM etc.
  • Ans. 

    Transformers are a type of neural network architecture that utilizes self-attention mechanisms to process sequential data.

    • Transformers use self-attention mechanisms to weigh the importance of different input elements, allowing for parallel processing of sequences.

    • Unlike RNNs and LSTMs, Transformers do not rely on sequential processing, making them more efficient for long-range dependencies.

    • Transformers have been shown ...

  • Answered by AI
  • Q2. What are different types of Attention?
  • Ans. 

    Different types of Attention include self-attention, global attention, and local attention.

    • Self-attention focuses on relationships within the input sequence itself.

    • Global attention considers the entire input sequence when making predictions.

    • Local attention only attends to a subset of the input sequence at a time.

    • Examples include Transformer's self-attention mechanism, Bahdanau attention, and Luong attention.

  • Answered by AI
  • Q3. Difference between GPT and BERT model
  • Ans. 

    GPT is a generative model while BERT is a transformer model for natural language processing.

    • GPT is a generative model that predicts the next word in a sentence based on previous words.

    • BERT is a transformer model that considers the context of a word by looking at the entire sentence.

    • GPT is unidirectional, while BERT is bidirectional.

    • GPT is better for text generation tasks, while BERT is better for understanding the cont

  • Answered by AI
Round 2 - HR 

(1 Question)

  • Q1. Difference between Data scientist, ML and AI
  • Ans. 

    Data scientists analyze data to gain insights, machine learning (ML) involves algorithms that improve automatically through experience, and artificial intelligence (AI) refers to machines mimicking human cognitive functions.

    • Data scientists analyze large amounts of data to uncover patterns and insights.

    • Machine learning involves developing algorithms that improve automatically through experience.

    • Artificial intelligence r...

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Jun 2024. There were 4 interview rounds.

Round 1 - Coding Test 

First round is coding round where two use cases are there. Need to solve them

Round 2 - Technical 

(1 Question)

  • Q1. They will all topics Statistics, SQL, Python, Machine Learning, Data Science
Round 3 - Technical 

(1 Question)

  • Q1. They will discuss more on the projects what we worked on
Round 4 - HR 

(1 Question)

  • Q1. Salary Discussion
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Sep 2024. There was 1 interview round.

Round 1 - Coding Test 

Asked 2 to 3 python coding question...

Interview Preparation Tips

Interview preparation tips for other job seekers - prepare technical round
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-

I applied via Job Portal

Round 1 - One-on-one 

(2 Questions)

  • Q1. What is random forest
  • Ans. 

    Random forest is an ensemble learning method used for classification and regression tasks.

    • Random forest is a collection of decision trees that are trained on random subsets of the data.

    • Each tree in the random forest independently predicts the target variable, and the final prediction is made by averaging the predictions of all trees.

    • Random forest is robust to overfitting and noisy data, and can handle large datasets wi...

  • Answered by AI
  • Q2. Explain lasso in feature selection
  • Ans. 

    Lasso is a feature selection technique that penalizes the absolute size of the regression coefficients.

    • Lasso stands for Least Absolute Shrinkage and Selection Operator

    • It adds a penalty term to the regression equation, forcing some coefficients to be exactly zero

    • Helps in selecting the most important features and reducing overfitting

    • Useful when dealing with high-dimensional data

    • Example: In a dataset with multiple feature...

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Oct 2022. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all Resume tips
Round 2 - Aptitude Test 

Easy to solve if you have basic mathematics understanding.

Round 3 - Group Discussion 

They will test your presence of mind and thinking.

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MathCo Interview FAQs

How many rounds are there in MathCo Data Scientist interview?
MathCo interview process usually has 3 rounds. The most common rounds in the MathCo interview process are Resume Shortlist, Aptitude Test and Technical.
How to prepare for MathCo 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 MathCo. The most common topics and skills that interviewers at MathCo expect are Analytical Chemistry, Data Analysis, Data Visualization, MS Office and Machine Learning.

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MathCo Data Scientist Interview Process

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₹5.8 L/yr - ₹19 L/yr
11% less than the average Data Scientist Salary in India
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3.0/5

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2.9

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