Plume Design Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 9 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Plume Design.
Plume Design
Data Scientist
Senior Easy Negative experience No offer 6 rounds
Interview process
Technical screen Technical screen Onsite Onsite Onsite Onsite
Interview formats
Technical Coding
My interview journey involved two technical rounds initially, where I was asked easy Python and SQL questions. This was followed by a virtual onsite which had four rounds. Unfortunately, the last round's interviewer didn't show up. The whole process felt super unorganized; they didn't even have records of my prior interviews and kept asking me what I'd been tested on previously. For the onsite itself, the first two rounds were again Python and SQL, which felt like a repeat, even though I was told one would cover probability/stats. To top it off, one interviewer seemed completely uninterested. It was a real drain of time and effort.
Confirmed questions2 questions
- Questions on Python (easy) and SQL.
- Basic questions on ML
Plume Design
Data Scientist
Entry Difficult Neutral experience Decline offer 1 round
Interview process
Recruiter call Phone screen
Interview formats
Coding Behavioral
First, I had a phone call. The interviewer seemed interesting and told me about the company. Then, I had to answer 3 questions. Finally, I asked some questions about the company, and that concluded the process.
Confirmed questions1 question
- Could you write a function that accepts two sorted lists and returns a sorted list containing their union?
Plume Design
Data Scientist
Mid Difficult Positive experience Accept offer 5 rounds
Interview process
Recruiter call Technical screen Onsite Panel Background check Offer
Interview formats
Technical Coding Presentation Behavioral
It was pretty much the same as other companies. Initial screening followed by an on-site interview. The questions were relevant to the job position and involved the situations which I would face if hired. The interviewers were really good, not only in asking meaningful questions but also in the whole discussion process. I got confused while answering one of the questions on dynamic programming and my interviewer instead of being disappointed helped me be calm and let me think through the answer again. They even had a lunch interview on probability and statistics, the interviewer was really nice. Not being a probability expert myself, I tried to answer the question to the best of my knowledge and surprisingly enough, the interviewer helped me understand the whole solution !!
Confirmed questions4 questions
- Tell me about big data processing.
- How would you approach machine learning tasks?
- Can you explain dynamic programming?
Plume Design Data Scientist Interview Questions
Quoted word for word from Plume Design interview reports.
“Could you write a function that accepts two sorted lists and returns a sorted list containing their union?”
Read reports →“What are some common Python functions you use?”
Read reports →“How would you handle noisy data using machine learning techniques?”
Read reports →“Could you perform some initial analysis on a dataset provided in a Jupyter-like notebook?”
Read reports →“Can you explain dynamic programming?”
Read report →“Could you write code for two LeetCode medium/easy problems?”
Read report →“How would you approach the customer churn problem?”
Read report →“Could you write code for one SQL problem?”
Read report →“Tell me about big data processing.”
Read report →Formats, difficulty and experience
Across all 9 Plume Design interview reports.