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MathCo Data Scientist Interview Questions and Answers for Experienced

Updated 17 Mar 2025

MathCo Data Scientist Interview Experiences for Experienced

1 interview 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 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

Data Scientist Jobs at MathCo

View all

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
Selected Selected
Round 1 - One-on-one 

(3 Questions)

  • Q1. What is Overfitting in decision tree
  • Ans. 

    Overfitting in decision trees occurs when the model learns noise in the training data rather than the underlying pattern.

    • Overfitting happens when the decision tree is too complex and captures noise in the training data.

    • It leads to poor generalization on unseen data, as the model is too specific to the training set.

    • To prevent overfitting, techniques like pruning, setting a minimum number of samples per leaf, or using en

  • Answered by AI
  • Q2. What is bagging
  • Ans. 

    Bagging is a machine learning ensemble technique where multiple models are trained on different subsets of the training data and their predictions are combined.

    • Bagging stands for Bootstrap Aggregating.

    • It helps reduce overfitting by combining the predictions of multiple models.

    • Random Forest is a popular algorithm that uses bagging by training multiple decision trees on random subsets of the data.

  • Answered by AI
  • Q3. What is neuron How its used in DL
  • Ans. 

    A neuron is a basic unit of a neural network that receives input, processes it, and produces an output.

    • Neurons are inspired by biological neurons in the human brain.

    • They receive input signals, apply weights to them, sum them up, and pass the result through an activation function.

    • Neurons are organized in layers in a neural network, with each layer performing specific tasks.

    • In deep learning, multiple layers of neurons ar...

  • Answered by AI

Skills evaluated in this interview

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 Oct 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Python coding and sql coding

Round 2 - Technical 

(2 Questions)

  • Q1. List all the string which start with 'a'
  • Ans. 

    List of strings starting with 'a'

    • Use a loop to iterate through each string

    • Check if each string starts with 'a'

    • Add the string to the list if it starts with 'a'

  • Answered by AI
  • Q2. Find out max value from the given table
  • Ans. 

    Use SQL query to find max value from a table

    • Use SQL query SELECT MAX(column_name) FROM table_name;

    • For example, SELECT MAX(salary) FROM employees;

    • Ensure proper column name and table name are used in the query

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - great experience

Skills evaluated in this interview

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

I applied via Approached by Company and was interviewed in Mar 2024. There were 3 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Questions on Transformer Architecture and
  • Q2. System design tradeoffs and basic principles
  • Ans. 

    System design tradeoffs involve balancing various factors to optimize performance and efficiency.

    • Consider scalability, reliability, latency, and cost when designing systems

    • Tradeoffs may involve sacrificing one aspect for the benefit of another

    • Examples include choosing between consistency and availability in distributed systems

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. Various questions on my projects
  • Q2. NLP based questions and metrics calculation and case study
Round 3 - HR 

(2 Questions)

  • Q1. Basic HR questions
  • Q2. Why Fractal, etc
  • Ans. 

    Fractals are used in data science for analyzing complex and self-similar patterns.

    • Fractals are useful for analyzing data with repeating patterns at different scales.

    • They are used in image compression, signal processing, and financial market analysis.

    • Fractal analysis can help in understanding the underlying structure of data and making predictions.

  • Answered by AI

Skills evaluated in this interview

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

Interview Questionnaire 

1 Question

  • Q1. There is online test is totally on SQL please prepare for SQL. There are 3 rounds in which first online test based on sql then 2nd is technical round and 3rd Manager round. Technical round on sql and machi...

Interview Preparation Tips

Interview preparation tips for other job seekers - Mainly Please prepare for SQL, Machine Learning and case study.

I applied via LinkedIn

Interview Questionnaire 

2 Questions

  • Q1. Discussion on resume projects
  • Q2. Questions on regularization, ensemble methods, variance vs bias

Interview Preparation Tips

Interview preparation tips for other job seekers - Go through all basic questions on ML and be thorough with your resume projects
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before May 2023. There were 4 interview rounds.

Round 1 - Assignment 

Simple Classification problem with some MCQ questions

Round 2 - Technical 

(1 Question)

  • Q1. Drill down on basic ML techniques
Round 3 - Technical 

(1 Question)

  • Q1. Project Discussion with mind sharpness check
Round 4 - HR 

(1 Question)

  • Q1. About past experience and expectations

Interview Preparation Tips

Topics to prepare for Fractal Analytics Data Scientist interview:
  • Machine Learning
  • Cloud
  • Statistics
  • Python
  • Application Deployment
  • NLP
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 

Basic quants,lrdi and coding round

Round 3 - Technical 

(1 Question)

  • Q1. Basic questions on sql and python, past projects
Round 4 - HR 

(1 Question)

  • Q1. Basic questions
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 - Coding Test 

Basic test with Data Structures, algorithms, SQL questions

Round 3 - Technical 

(1 Question)

  • Q1. Questions about basic ML Algorithms

I applied via Company Website and was interviewed in Feb 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 - Aptitude Test 

There were 13 questions
2 was coding and other multiple choice questions
one coding question was wine quality test

Interview Preparation Tips

Interview preparation tips for other job seekers - Advanced ML questions will be there

MathCo Interview FAQs

How many rounds are there in MathCo Data Scientist interview for experienced candidates?
MathCo interview process for experienced candidates usually has 5 rounds. The most common rounds in the MathCo interview process for experienced candidates are Technical, Behavioral and HR.
How to prepare for MathCo 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 MathCo. The most common topics and skills that interviewers at MathCo expect are Analytical Chemistry, Data Visualization, Machine Learning, Python and SQL.
What are the top questions asked in MathCo Data Scientist interview for experienced candidates?

Some of the top questions asked at the MathCo Data Scientist interview for experienced candidates -

  1. Problem solving questions. Gave a case study to check presence of m...read more
  2. More values in training set than test ...read more
  3. Explain Overfitt...read more

Tell us how to improve this page.

MathCo Data Scientist Interview Process for Experienced

based on 1 interview

Interview experience

4
  
Good
View more

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MathCo Data Scientist Salary
based on 140 salaries
₹6.3 L/yr - ₹19 L/yr
18% less than the average Data Scientist Salary in India
View more details

MathCo Data Scientist Reviews and Ratings

based on 24 reviews

2.9/5

Rating in categories

3.2

Skill development

2.4

Work-life balance

2.7

Salary

2.8

Job security

3.1

Company culture

3.2

Promotions

2.7

Work satisfaction

Explore 24 Reviews and Ratings
Sr Data Scientist

Bangalore / Bengaluru

5-9 Yrs

Not Disclosed

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