
Citrine Informatics Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 8 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Citrine Informatics.
Data Scientist
The communication wasn't great, they missed deadlines a lot. It took over 2 months. It included a phone screen, a sales and coding challenge (pitch deck and Python notebook), a technical interview, and a final behavioral interview. I got a generic rejection email afterward with no feedback.
- How would you convince someone who is doubtful to use an ML model in their scientific work?
Data Scientist
Based on past reviews and a friend's experience, I expected a non-technical phone interview, a technical challenge, and an on-site. However, for this specific role, my phone interview was a mix, 50% non-technical and 50% technical. I felt like I didn't answer some questions well, and also felt interrupted. The interview was only 30 minutes, so questions felt rushed, though we did spend a lot of time on one technical question because I elaborated too much. The behavioral questions were pretty standard, almost like they were being read from a list. My friend had a different interviewer for a similar role a while back and said their experience was better, and it really depends on the interviewer. I think they picked a good interviewer for me, but the interview could have gone smoother.
- What is your expected salary range?
Data Scientist
After a quick chat with the recruiter and hiring manager, I got a take-home task. It involved about two weeks of digging into data with around 100 features and 10 labels to predict. I had to build a scikit-learn object from scratch. After training a model and writing the object in an object-oriented way, I got an automatic rejection with no feedback, despite spending two weeks on it. The criteria for evaluation were unclear and subjective. As a mid-level data scientist who's passed technical screens elsewhere, I feel companies like this don't show much commitment to candidates. These assignments are a waste of time and don't really improve skills. It's basically a project, and I wouldn't put in two weeks without pay. I'd tell other good candidates to skip the take-home and look at companies that don't have such demanding work.
- Could you define cross-validation?
Citrine Informatics Data Scientist Interview Questions
Quoted word for word from Citrine Informatics interview reports.
“Can you explain how changing the value of K affects K-fold cross-validation?”
Read reports →“Could you define cross-validation?”
Read reports →“Can you explain cross-validation?”
Read reports →“Could you describe how to draw feasible and uniformly distributed samples that satisfy any given non-linear constraints, with the constraints provided in text files?”
Read reports →“How would you convince someone who is doubtful to use an ML model in their scientific work?”
Read report →“What if you had more time, how would you enhance the challenge model?”
Read report →“Could you share your experiences working with clients?”
Read report →“Tell me about your past client engagements.”
Read report →Formats, difficulty and experience
Across all 8 Citrine Informatics interview reports.