Tiger Analytics

Role: Senior Analyst — Data Science

College: Not Specified

Interview Date: Applied around December (blog post from March 13, 2022)

Interview Type: Full-Time

Result: Hired

Difficulty: Beginner to Intermediate (for OA and coding questions)

Rounds: 4 stages (Telephonic Interview, Coding Round, 1st Round of Interview, 2nd Round of Interview)

Topics Asked: Current organization, CTC, expectations, YOE, Data Science MCQs (Probability, Confusion Matrix, Statistics, ML algorithms), Python Coding, Python/R skills, ML algorithms, Pandas, DataFrame functions, Past experience and projects, Behavioral (Why Tiger Analytics, accomplishments, fit).

Experience:

The hiring process at Tiger Analytics for a Senior Analyst — Data Science role consisted of four stages.

Telephonic Interview: This was the initial HR screening after resume selection.

• General questions like current organization, CTC, expectation, and Years of Experience (YOE) were asked.

Coding Round: This round was typically held on HackerEarth.

• 10 MCQs related to Data Science (Probability, Confusion Matrix, Statistics, ML algorithms). The level was beginner to intermediate, with some potentially tough questions.
• 3 Coding Questions. Candidates could code in any language (e.g., Python). The level was beginner to intermediate.

1st Round of Interview: This round often required the camera to be on and focused on Python/R skills.

• 3-4 coding questions were given, requiring screen sharing to write code. The initial focus was on understanding the question and explaining the approach, rather than immediate time complexity optimization.

2nd Round of Interview: This round was more focused on the applied profile.

• Questions related to ML algorithms, Pandas, and DataFrame functions.
• Discussions about past experience and projects, including implementation details.
• Behavioral/Managerial questions: "Why us...?", "What have you accomplished using your previous projects?", "Why are you a good fit for our organization?", and past experiences and learnings.

The candidate was hired for the role.