M

Mu Sigma

Trainee Decision Scientist

Interview Date

2024 (Result came out after 4 days)

Result

Selected

Difficulty

Easy to Moderate

Rounds

2 rounds

Drive Type

On-Campus

Topics asked

Numerical ReasoningVerbal ReasoningLogical ReasoningSituational JudgmentCoding (LeetCode easy to moderate)ProjectsHR questions

Detailed experience

Role: Trainee Decision Scientist

College: Not Specified

Interview Date: 2024 (Result came out after 4 days)

Interview Type: On-Campus

Result: Selected

Difficulty: Easy to Moderate

Rounds: 2 rounds

Topics Asked: Numerical Reasoning, Verbal Reasoning, Logical Reasoning, Situational Judgment, Coding (LeetCode easy to moderate), Projects, HR questions

Experience:

The recruitment process for the Trainee Decision Scientist role consisted of two main stages: an Aptitude + Coding round and an Interview round.

Round 1: Aptitude + Coding. This section included questions based on numerical reasoning, verbal reasoning, logical reasoning, and situational judgment. The coding questions were sourced from LeetCode, with a difficulty level ranging from easy to moderate.

Round 2: Interview Round. This round commenced with the candidate's introduction. The interviewer then delved into the projects listed on the resume, asking about the difficulties faced during their execution and how the projects were initiated. Standard HR questions, such as "why do you want to join the company," were also posed. The number of technical questions asked during this round, despite its technicality, was low.

The results were announced after four days, and the candidate was shortlisted.

Posted on - 13 Nov 2025
Mu Sigma Interview Experience - Trainee Decision Scientist | OAHelper