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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

2.5 Rounds average
Average Typical difficulty
0% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Citrine Informatics.

Showing 3 of 8
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Citrine Informatics

Data Scientist

Analytics · more than a year ago

Entry Average Negative experience No offer 4 rounds
Interview process
Phone screen Technical screen Presentation Onsite
Interview formats
Coding Presentation Behavioral

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.

Confirmed questions1 question
  • How would you convince someone who is doubtful to use an ML model in their scientific work?
Citrine Informatics logo
Citrine Informatics

Data Scientist

Analytics

Mid Average Negative experience No offer 3 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Behavioral Technical

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.

Confirmed questions1 question
  • What is your expected salary range?
Citrine Informatics logo
Citrine Informatics

Data Scientist

Analytics

Mid Average Negative experience No offer 3 rounds
Interview process
Recruiter call Take home Background check
Interview formats
Technical

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.

Confirmed questions1 question
  • 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 describe how to draw feasible and uniformly distributed samples that satisfy any given non-linear constraints, with the constraints provided in text files?

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How would you convince someone who is doubtful to use an ML model in their scientific work?

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What if you had more time, how would you enhance the challenge model?

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Could you share your experiences working with clients?

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Formats, difficulty and experience

Across all 8 Citrine Informatics interview reports.

Interview formats

Technical 41.2%
Behavioral 41.2%
Coding 11.8%
Presentation 5.9%

Interview difficulty

Easy 0%
Average 75%
Difficult 25%

Candidate experience

Neutral 37.5%
Negative 62.5%