
Snowflake Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 23 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Snowflake.
Data Scientist Intern
There were 3 rounds in total. The first two were technical interviews, and the last one was a professional fit interview. The first interview covered theoretical machine learning concepts, specifically focusing on supervised learning. The second interview delved into my research experience, particularly my work with stochastic processes and time-series modeling. Finally, I had a casual conversation with the hiring manager.
No confirmed questions were included in this interview report.
Data Scientist
The interview process took about 2 months and had 8 rounds. It included a recruiter call, a coding screen focusing on SQL and Python, two rounds on Data Science concepts (one on infrastructure which was easy), a panel interview (also easy), a stakeholder interview (easy), another recruiter call, and a final HM round. The coding questions were difficult.
- Could you describe a past project where your work directly impacted customers?
Data Scientist
A recruiter reached out, and I went through the initial interview round but unfortunately didn't make it past. It wasn't a great experience; I felt disconnected from the interviewer, who seemed bored, yawning and generally disengaged. They gave me a small coding challenge, which I didn't do well on. I felt these kinds of questions aren't really relevant to the actual job and don't really assess someone's ability to tackle business problems.
- In numpy, can you compute the bootstrap mean and its 98% confidence interval?
Snowflake Data Scientist Interview Questions
Quoted word for word from Snowflake interview reports.
“Build a predictive model using the provided dataset.”
Read reports →“In numpy, can you compute the bootstrap mean and its 98% confidence interval?”
Read reports →“Can you predict house prices using regression in Python?”
Read reports →“Build a model using Jupyter Notebook.”
Read reports →“Implement a Machine Learning Model on a fairly simple dataset.”
Read report →“What are some activation functions?”
Read report →“Can you provide the count of reports within a director's organization, given tables of managers and their direct reports?”
Read report →“Could you solve a Python problem?”
Read report →“Can you handle housing price prediction?”
Read report →Formats, difficulty and experience
Across all 23 Snowflake interview reports.