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Tiger Analytics interviews FAQs
Data Scientist applicants have rated the interview process at Tiger Analytics with 3.4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 41% positive. To compare, the company-average is 42% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 37 days to get hired, when considering 17 user submitted interviews for this role. To compare, the hiring process at Tiger Analytics overall takes an average of 32 days.
Common stages of the interview process at Tiger Analytics as a Data Scientist according to 17 Glassdoor interviews include:
Phone interview: 36%
One on one interview: 24%
Presentation: 15%
Skills test: 12%
Background check: 3%
IQ intelligence test: 3%
Drug test: 3%
Personality test: 3%
Here are the most commonly searched roles for interview reports -
I applied through a recruiter. I interviewed at Tiger Analytics
Average interview
Application
I interviewed at Tiger Analytics
Interview
They wanted to spy on the projects done by other competitors. Hence been conducting many interviews without reverting back after the interview. Asked about some basic things then kept asking about product details in depth
Round 1 – Technical Interview
Focused on core Python skills and machine learning fundamentals.
• Basic Python questions (data handling, string manipulation, loops, dictionaries, etc.)
• Assessed overall coding comfort and problem-solving ability
• Foundational ML questions (supervised vs unsupervised learning, model evaluation metrics, bias-variance, etc.)
Interview questions [1]
Question 1
Round 2 – Project Discussion
In-depth discussion of past projects.
• Explained end-to-end workflow (data preprocessing, feature engineering, model selection, evaluation)
• Questions on challenges faced and how they were resolved
• Follow-up technical questions based on the project implementation
I interviewed at Tiger Analytics (Bangalore Rural)
Interview
2 rounds interview, first is easy with standard question like prompt engineering, transformers, RAG systems , cloud like AWS, and little about your projects second is difficult deep in your project ,
Coding assessment which consist of 2 python and 1 SQL question with 6 DS MCQ's.
Next would be Technical round and the HR/Managerial round. I couldn't clear it but, it was good experience.
Interview questions [1]
Question 1
Questions are related to Confusion matrix, Bias-Variance trade off etc.