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Quantifind Data Scientist Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 10 interview experiences · FREE TO READ

4.3 Rounds average
Average Typical difficulty
70% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Quantifind.

Showing 3 of 10
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Data Scientist

Analytics · nearly a year ago

Entry Average Neutral experience No offer 2 rounds
Interview process
Recruiter call Technical screen Technical screen
Interview formats
Case Coding Technical

The recruiter mentioned the first interview would cover ML and NLP with IDE coding, but it turned out to be a case study without any coding. The second round had two parts: a LeetCode problem about merging intervals and a non-DSA question where I had to write pseudocode. I had a great time with the interviewers, but the recruiter was hard to reach and seemed unprofessional. After the last interview, the recruiter went silent, and I only got an automated rejection after I reached out.

Confirmed questions3 questions
  • Can you explain how you would design and implement a system to filter out non-negative news articles from a large corpus, given that clients are looking for insights on negative news?
  • Solve the LeetCode problem involving merged intervals.
  • Provide pseudocode for a problem that doesn't involve data structures or algorithms.
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Quantifind

Data Scientist

Analytics · a year ago

Mid Average Positive experience No offer 3 rounds
Interview process
Recruiter call Background check Technical screen Onsite
Interview formats
Behavioral Technical Coding System Design

The recruiter reached out via email after I applied online. The first round of interview was behavioral + hr round. The second round was a System Design interview wherein I was asked to design a news article summarization / text summarization system from scratch. The last round was coding round with questions from Leetcode. 2 questions with medium level difficulty.

Confirmed questions2 questions
  • Design a news article summarization / text summarization system from scratch.
  • Hr questions to judge my collaboration skills and how well I fit into the team.
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Quantifind

Data Scientist

Analytics

Entry Average Positive experience Decline offer 5 rounds
Interview process
Recruiter call Technical screen Technical screen Technical screen Phone screen
Interview formats
Behavioral Coding Technical Case

It was a phone screen, then a behavioral part, followed by 3 technical interviews, and then a chat with the founder. The technical interviews were coding-focused, involving SQL (easy-medium) and implementing queries in Python. Another part tested ML knowledge through a case study. The recruiters were really nice and helpful the whole time, and the interviewers were cool and answered all my questions.

Confirmed questions1 question
  • Imagine a restaurant is experiencing a drop in customers. If you were given Yelp reviews as text data, what steps would you take to help them improve their business?

Quantifind Data Scientist Interview Questions

Quoted word for word from Quantifind interview reports.

Find all combinations of integers from a list that sum up to a specific target integer.

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What specific numbers would you assign as thresholds for 'very common', 'common', 'rare', and 'very rare' name frequencies?

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What distribution would you say the frequency of first name + last name follows?

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Design a news article summarization / text summarization system from scratch.

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Imagine a restaurant is experiencing a drop in customers. If you were given Yelp reviews as text data, what steps would you take to help them improve their business?

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Were there any questions related to basic probability?

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Could you elaborate on probability and statistics questions?

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Formats, difficulty and experience

Across all 10 Quantifind interview reports.

Interview formats

Technical 31.2%
Coding 25%
Behavioral 21.9%
Case 9.4%
System Design 6.2%

Interview difficulty

Easy 0%
Average 70%
Difficult 30%

Candidate experience

Neutral 30%
Positive 70%