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Tiger Analytics Data Scientist Interview Questions, Process, and Tips

Updated 3 Dec 2024

Top Tiger Analytics Data Scientist Interview Questions and Answers

Tiger Analytics Data Scientist Interview Experiences

18 interviews found

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

I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. Basic ML questions based on your project, python basic questions
Round 2 - Coding Test 

Basic python questions on pandas,numpy, and basic SQL questions on windows function like lag

Data Scientist Interview Questions & Answers

user image vishay thakur

posted on 16 Nov 2024

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Coding Test 

It was difficult and was on hackerrank

Round 2 - Technical 

(1 Question)

  • Q1. How to find a largest number in a list without using inbuilt function
  • Ans. 

    Iterate through the list and compare each element to find the largest number.

    • Iterate through the list using a loop

    • Compare each element with a variable storing the current largest number

    • Update the variable if a larger number is found

  • Answered by AI

Data Scientist Interview Questions Asked at Other Companies

Q1. Special Sum of ArrayYou have been given an array/list ‘arr’ of le ... read more
Q2. for a data with 1000 samples and 700 dimensions, how would you fi ... read more
asked in Affine
Q3. you have a pandas dataframe with three columns, filled with state ... read more
Q4. Clone a Linked List with random pointersGiven a linked list havin ... read more
Q5. Technical QuestionGiven a API reference. You had to make a post r ... read more
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
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

SQL, Python and Apti ques

Round 2 - Technical 

(2 Questions)

  • Q1. Have given Python question to print a pattern
  • Q2. Some ML algo questions
Round 3 - HR 

(1 Question)

  • Q1. Why u are looking for job change
  • Ans. 

    Seeking new challenges and growth opportunities in a different environment.

    • Looking for new challenges to enhance my skills and knowledge

    • Seeking growth opportunities that align with my career goals

    • Interested in exploring different work environments and cultures

  • Answered by AI

Tiger Analytics interview questions for designations

 Senior Data Scientist

 (4)

 Lead Data Scientist

 (2)

 Data Science

 (1)

 Senior Data Analyst

 (6)

 Data Science Intern

 (1)

 Senior Data Scientist Analyst

 (1)

 Analytics Consultant

 (1)

 Analytics Executive

 (1)

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

Python questions moderate to difficult

Round 2 - One-on-one 

(2 Questions)

  • Q1. Introduction about self
  • Ans. 

    I am a data scientist with a background in statistics and machine learning.

    • I have a Master's degree in Data Science from XYZ University.

    • I have experience working with Python, R, and SQL for data analysis.

    • I have worked on projects involving predictive modeling and data visualization.

    • I am passionate about using data to drive business decisions and solve complex problems.

  • Answered by AI
  • Q2. Python basics like list, dictionary
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 May 2024. There were 4 interview rounds.

Round 1 - Coding Test 

Screening round,2 programming and 5 MCQs

Round 2 - Technical 

(1 Question)

  • Q1. Basic python coding questions
Round 3 - Technical 

(1 Question)

  • Q1. Based on CV , previous projects
Round 4 - HR 

(1 Question)

  • Q1. General HR discussion

Data Scientist Jobs at Tiger Analytics

View all
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
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Apr 2024. There were 3 interview rounds.

Round 1 - Coding Test 

This round Medium level leet code question

Round 2 - Case Study 

Cpg case study logistic regression linear regression

Round 3 - HR 

(1 Question)

  • Q1. Job switch reason past project experience
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Hacker rank python and SQL coding test

Round 2 - Technical 

(1 Question)

  • Q1. Project experience related questions
Round 3 - Case Study 

Was given a case study to solve for

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

I applied via LinkedIn and was interviewed in Feb 2023. There were 6 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 - Coding Test 

Platform HackerEarth
9 Questions
2 Coding Questions on Python based on Dynamic Programming
7 Questions MCQ on Data Science and SQL

Round 3 - Technical 

(1 Question)

  • Q1. Data Science Projects discussion Python Coding by sharing screen
Round 4 - Technical 

(4 Questions)

  • Q1. Data Science Projects Detailed Questions
  • Q2. In Depth Knowledge on any one of your project.
  • Q3. Cross Questioning on Regression, Classfication Problems. Dummy Variable Trap Statistics Questions
  • Q4. Questions on Deep Learning Models working and architecture like RNN Exploding/Vanishing Gradient Problem, Solutions like LSTM, CNN model working and different terminologies used.
Round 5 - Technical 

(1 Question)

  • Q1. Again this round was pure Technical. All questions were on Data Science Projects and scenario based. 2 Questions on Probability and puzzle based.
Round 6 - HR 

(1 Question)

  • Q1. Final Round Discussion about Company's Policies and Roles. Your Expectations from the company, the kind of role you are looking for and why Tiger.

Interview Preparation Tips

Interview preparation tips for other job seekers - Just have knowledge of everything what you have mentioned in your resume, small small details, different terms used often in each model and remember to have working knowledge of each model's architecture.
Be confident with your responses.

Tiger Analytics Interview FAQs

How many rounds are there in Tiger Analytics Data Scientist interview?
Tiger Analytics interview process usually has 2-3 rounds. The most common rounds in the Tiger Analytics interview process are Coding Test, Technical and HR.
How to prepare for Tiger Analytics 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 Tiger Analytics. The most common topics and skills that interviewers at Tiger Analytics expect are Python, Data Science, Machine Learning, Regression and Classification.
What are the top questions asked in Tiger Analytics Data Scientist interview?

Some of the top questions asked at the Tiger Analytics Data Scientist interview -

  1. What are the relevant projects in Data science & expertise in whatt all tools &...read more
  2. how to find a largest number in a list without using inbuilt funct...read more
  3. What is random for...read more
How long is the Tiger Analytics Data Scientist interview process?

The duration of Tiger Analytics Data Scientist interview process can vary, but typically it takes about less than 2 weeks to complete.

Tell us how to improve this page.

Tiger Analytics Data Scientist Interview Process

based on 13 interviews in last 1 year

2 Interview rounds

  • Coding Test Round
  • Technical Round
View more

People are getting interviews through

based on 15 Tiger Analytics interviews
Referral
Job Portal
Company Website
40%
33%
20%
7% candidates got the interview through other sources.
High Confidence
?
High Confidence means the data is based on a large number of responses received from the candidates.
Tiger Analytics Data Scientist Salary
based on 433 salaries
₹8.8 L/yr - ₹30 L/yr
20% more than the average Data Scientist Salary in India
View more details

Tiger Analytics Data Scientist Reviews and Ratings

based on 55 reviews

3.4/5

Rating in categories

3.5

Skill development

3.5

Work-Life balance

3.1

Salary & Benefits

3.6

Job Security

3.5

Company culture

3.2

Promotions/Appraisal

3.1

Work Satisfaction

Explore 55 Reviews and Ratings
Data Scientist, NLP + GenAI

Hyderabad / Secunderabad,

Chennai

+1

4-7 Yrs

₹ 9.5-20 LPA

Data Scientist

Delhi/Ncr

4-8 Yrs

Not Disclosed

Data Scientist

New Delhi,

Gurgaon / Gurugram

+1

4-7 Yrs

₹ 9.5-20 LPA

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