MiQ Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 11 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at MiQ.
MiQ
Data Scientist Intern
Intern Difficult Positive experience No offer 3 rounds
Interview process
Take home Technical screen Onsite Background check Offer
Interview formats
Technical Case Behavioral
The interview was on campus, so first we had an online assessment, then 3 offline rounds: Technical, Managerial, and HR. The Technical interview was tough and really checked my NLP and statistics fundamentals. Only 14 out of 32 candidates passed this round. The Managerial round had case study questions which I didn't do well on. Lastly, the HR round was pretty chill.
Confirmed questions1 question
- Why is IDF necessary in TF-IDF?
MiQ
Data Scientist
Mid Average Positive experience Accept offer 4 rounds
Interview process
Recruiter call Take home Technical screen Technical screen Technical screen
Interview formats
Technical Coding Technical Technical Technical
The whole process had 4 rounds total, including an HR round. Also, there was a take-home assignment that I had to turn in after a week. The first round focused on Big Data, Data Structures, and Algorithms. For Big Data, they asked about Spark and MapReduce. For Data Structures and Algorithms, questions included Reversing a Linked-List, DFS, BFS, Stacks, and Dijkstra's shortest path. The second round was about my general thought process and how I approach problems. The third round tested my knowledge of probability, statistics, and machine learning algorithms, including explaining how many work and the math behind them. There was also a simple question on Markov processes.
Confirmed questions1 question
- I was asked to derive a solution to a problem, but I couldn't figure it out. It involved a new way of using probabilistic modeling. I later learned the company was actually researching that exact problem for one of their projects.
MiQ
Data Scientist
Entry Difficult Negative experience No offer 3 rounds
Interview process
Recruiter call Take home Technical screen
Interview formats
Other Technical
The whole thing took about 3 weeks. It started with an HR call and then a written test. After that, I had an assignment. When I turned in the assignment, HR told me the next interview would be about it, but it ended up being a random technical interview covering stats and machine learning instead.
Confirmed questions1 question
- Can you explain the central limit theorem?
MiQ Data Scientist Interview Questions
Quoted word for word from MiQ interview reports.
“Why is IDF necessary in TF-IDF?”
Read reports →“What is the Random Forest Algorithm?”
Read reports →“Explain the central limit theorem.”
Read reports →“Can you explain the meaning of 'Naive' in the context of Naive Bayes?”
Read reports →“Could you explain the distinction between log loss and cross entropy?”
Read report →“What are the reasons for choosing LSTM over a simple RNN?”
Read report →“Could you explain the Bias Variance Tradeoff?”
Read report →“Can you define statistical terms?”
Read report →“What are some data visualization techniques?”
Read report →Formats, difficulty and experience
Across all 11 MiQ interview reports.