Databricks Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 20 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Databricks.
Databricks
Data Scientist
Mid Difficult Neutral experience No offer 3 rounds
Interview process
Technical screen Technical screen Technical screen
Interview formats
Case Technical
3 rounds, 1 case interview, 1 fundamentals round and 1 SQL round. The case interview was super technical and the fundamentals interview didn't go over my resume at all. Overall it was pretty hard, and the fundamentals interview prep sheet was not useful at all.
Confirmed questions2 questions
- Q1: what are the main assumptions behind linear regression?
- Q2: when forecasting average revenue, would a random forest tend to overestimate or underestimate revenue compared to an ARIMA model?
Databricks
Data Scientist
Mid Difficult Positive experience No offer 5 rounds
Interview process
Recruiter call Phone screen Technical screen Take home Onsite
Interview formats
Behavioral Technical Coding System Design Other
Recruiter call, 30 min HM interview, 45 min technical call, take home assignment (GenAI focused project), then multi-hour virtual onsite that covered ML engineering, ML technical fundamentals, statistics, and behavioral questions/career aspirations. I did not advance past the technical call.
Confirmed questions1 question
- Describe the transformer architecture and how it differs from other autoregressive models.
Databricks
Data Scientist
Senior Difficult Neutral experience No offer 9 rounds About a month
Interview process
Recruiter call Technical screen Take home Onsite Technical screen Technical screen Technical screen Onsite Offer
Interview formats
Behavioral Technical Coding
The interview process is pretty long with a lot of technical rounds and a take home assignment. Everyone was friendly but the interviews were definitely on the harder side. It starts with a hiring manager interview, then a technical interview focused on your background. After that there is a take home coding assignment, a virtual onsite, and 3 more technical rounds. Then there is a wrap up and then you move to the offer stage.
Confirmed questions1 question
- Describe the transformer architecture and go through each of its components.
Databricks Data Scientist Interview Questions
Quoted word for word from Databricks interview reports.
“Describe the transformer architecture and how it differs from other autoregressive models.”
Read reports →“What’s the issue with running a regression model when you have 10000 predictor features?”
Read reports →“What are the assumptions behind linear regression and what happens when those assumptions are broken?”
Read reports →“Q2: when forecasting average revenue, would a random forest tend to overestimate or underestimate revenue compared to an ARIMA model?”
Read reports →“Q1: what are the main assumptions behind linear regression?”
Read report →“Describe the transformer architecture and go through each of its components.”
Read report →“What time would you want to have a call with us?”
Read report →Formats, difficulty and experience
Across all 20 Databricks interview reports.