Quantumblack Data Science HackerRank Assessment?

Question

Hi, I'm new to MBB. I recently received an invite to complete a 90 min
HackerRank assessment for a Data Scientist II role.

What is the number and type of questions I can expect?
Will it have SQL and both Data Structures & Algorithms?
How best and what all to prepare in a limited time (few days)?

Please share your thoughts. I would really appreciate it.
My sincerest thanks.

Answer 1

Hi there,

I've worked with a couple of QB applicants. The process varies by role and office, so I recommend you address these questions directly to the recruiter. They are there to ensure you are as prepared as possible for the interview, and being clear on the format of the interview is critical.

Once you get an answer from them, let me know and I'm happy to share my thoughts on how to approach the prep.

Best,
Cristian

Answer 2

hey there :)

for QuantumBlack / MBB data science roles, the HackerRank is usually around 4–6 questions in 90 minutes. expect a mix of Python/SQL coding, data manipulation, and basic algorithms, think arrays, strings, hash maps, maybe some sorting or searching.

don’t overcomplicate prep: focus on clean Python solutions, practice SQL joins/aggregations, and run through a few easy-medium LeetCode or HackerRank problems. timing is key, so simulate 90-min sessions once or twice to get comfortable.

the goal is correctness, clarity, and efficiency — they aren’t expecting super advanced algorithms.

best,
Alessa :)

Answer 3

I do not have specific insider knowledge of the QuantumBlack HackerRank format but based on what candidates have shared and what is typical for data science roles at this level, here is what to expect.

For a Data Scientist II role: Expect three to five questions in 90 minutes covering Python or R, SQL, and possibly a stats or ML question. Heavy data structures and algorithms like you see in software engineering assessments are less likely. Focus on data manipulation, model evaluation, and analytical problem solving.

For SQL: know joins, window functions, aggregations, and subqueries.

For coding: practise pandas, clean functions, and edge cases. HackerRank rewards code that passes all test cases, not just the examples.

With a few days: one day on SQL on HackerRank, one day on medium Python data problems, one day on a full timed mock. Do not spread too thin.

Read each question fully before you start. Partial credit comes from passing some test cases even if not all.