William Blair Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 5 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at William Blair.
William Blair
Data Scientist Intern
Intern Average Positive experience Accept offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Technical Behavioral
First, I had a chat with someone from the company who told me about them and the program. Then, I interviewed with two data scientists. It was mainly about machine learning concepts, not too difficult, but they did ask follow-up questions to check my understanding.
Confirmed questions2 questions
- Can you explain concepts like the bias variance tradeoff?
- Describe K-means clustering and similar concepts.
William Blair
Data Science Intern
Intern Average Positive experience Accept offer 2 rounds
Interview process
Technical screen Onsite
Interview formats
Technical Coding System Design Behavioral
The interview process included a first round focusing on Python coding and machine learning, with 15 minutes dedicated to each. The second and final round involved more machine learning, project experience discussion, a case study, and behavioral questions, also with 15 minutes for each component. Overall, it was a good experience with friendly interviewers.
Confirmed questions5 questions
- Can you explain the difference between Random Forest and Logistic Regression?
- What's the difference between underfitting and overfitting?
- Tell me about your machine learning knowledge.
William Blair
Data Scientist
Mid Easy Neutral experience No offer 2 rounds
Interview process
Phone screen Onsite
Interview formats
Technical
The interview process involved two stages: a 30-minute phone interview followed by a 1-hour onsite interview. Both of these rounds included technical questions covering machine learning, Spark, statistics, and Python.
Confirmed questions5 questions
- What makes you want to work for this company?
- Tell me about a significant challenge you faced.
- Can you explain what a confusion matrix is?
William Blair Data Scientist Interview Questions
Quoted word for word from William Blair interview reports.
“Is it possible to use logistic regression for problems with more than two classes?”
Read reports →“Can you explain the difference between a tuple and a list in Python?”
Read reports →“What's the difference between underfitting and overfitting?”
Read reports →“Can you explain what regularization is in the context of ML models?”
Read reports →“Can you explain the difference between Random Forest and Logistic Regression?”
Read report →“Can you explain what a confusion matrix is?”
Read report →“Describe K-means clustering and similar concepts.”
Read report →“Can you explain concepts like the bias variance tradeoff?”
Read report →“Have you worked on binary classification tasks before?”
Read report →Formats, difficulty and experience
Across all 5 William Blair interview reports.