Insight Data Science Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 85 interview experiences · FREE TO READ
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7 roles · 85 reportsCandidate interview experiences
First-hand accounts from people who interviewed at Insight Data Science.
Insight Data Science
Machine Learning Engineer
Mid Average Neutral experience No offer 1 round
Interview process
Recruiter call Technical screen
Interview formats
Behavioral Technical
There were four interviewers in total, and the interview was conducted online in the early morning. Two of them were professionals in the field, and the other two were from the HR department. To start, the main interviewer explained the job description and asked me some basic questions.
Confirmed questions3 questions
- Can you share any experience you have in a research environment?
- What's your grasp of Machine Learning concepts?
- How would you handle a situation where the outcome is only around 95%?
Insight Data Science
Fellow
Entry Average Positive experience Accept offer 2 rounds
Interview process
Technical screen Onsite
Interview formats
Coding System Design Technical
After clearing the initial steps, you'll get invited for a more in-depth technical interview. This might involve whiteboard coding, system design questions, and more detailed technical talks. They'll check how you solve problems, how efficient your code is, and if you can explain your thinking. The interview was pretty straightforward, with medium-difficulty technical questions.
Confirmed questions1 question
- How would you scale and design a security program?
Insight Data Science
Data Scientist Fellow
Entry Average Positive experience Accept offer 3 rounds
Interview process
Recruiter call Technical screen Panel Offer
Interview formats
Behavioral Technical Coding Presentation
The interview was structured in about three sections. The first part involved me explaining my graduate research, where the interviewer seemed to focus on how well I could communicate technical information. The main part of the interview was the second section, where we shared my screen so I could walk through some code I had written. I presented analyses from a side project, and the interviewer asked about my model choices and how I interpreted the results. Finally, the last section included questions about my interest in data science, the companies I'm excited about, and specific aspects of the field. It felt pretty laid-back overall.
Confirmed questions4 questions
- Can you tell me about the research you conducted during your graduate studies?
- What is your reason for wanting to switch into the field of data science?
- Could you elaborate on why you believe model XX was more effective than model YY?
Insight Data Science
Data Scientist
Entry Average Positive experience Decline offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Behavioral Technical Coding Presentation
We started with a quick introductory video chat, talking about what I'm interested in, my background, and why I applied. It was a really nice, low-pressure chat. Then, there was a second technical interview, also on video. They wanted me to have a data science project ready to go over. I had to explain the project to the interviewer, share my screen to show the code, and answer questions about it, like where I got the data, how I cleaned it, and why I picked a certain model. This was also a fun conversation, and honestly not too technically tough at the time. If you've got a solid project and can talk about it well, you'll be good.
Confirmed questions6 questions
- Regarding your project, what was the most significant hurdle you encountered and overcame?
- Could you elaborate on the project you prepared?
- Would you be able to show me the code for your project?
Insight Data Science Interview Questions
Quoted word for word from Insight Data Science interview reports.
“Could you explain your choice of validation method and why you didn't opt for Precision score?”
Read reports →“What would you do if you had access to all the data in existence?”
Read reports →“Can you confirm your eligibility to stay in the location for up to four months?”
Read reports →“Can you identify any interesting patterns within a large volume of Yelp data?”
Read reports →“What would be your strategy for locating a specific entry within a database cluster handling millions of entries?”
Read report →“Could you explain why you'd choose oversampling or undersampling over other methods for rebalancing data?”
Read report →“Walk me through common data science techniques, including data cleaning, feature engineering, feature selection, modeling, and visualization.”
Read report →“If you had access to all the data in the world, what project would you undertake?”
Read report →“How could an app or website you frequently use be made better?”
Read report →Formats, difficulty and experience
Across all 85 Insight Data Science interview reports.