Schnucks 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 Schnucks.
Schnucks
Data Scientist
Mid Difficult Negative experience No offer 2 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Coding Technical Behavioral
It started with a brief self intro, then live-coding using SQL and Python/R to tackle date problems. We also went over my resume and past projects in detail. They asked about my ML knowledge too, followed by a Q&A.
Confirmed questions5 questions
- Could you demonstrate how to write a linear regression?
- What are the methods for tuning hyperparameters in Random Forests?
- Tell me about your resume and detailed projects.
Schnucks
Data Scientist Intern
Intern Average Positive experience No offer 1 round
Interview process
Technical screen Panel
Interview formats
Coding Technical Behavioral
The interview consisted of a 25-minute coding round, followed by a 20-minute Q/A about a previous data science project. Finally, there was a 15-minute general discussion about mutual expectations and the role. The interview was conducted by a panel of 4 people from different departments at schnucks.
Confirmed questions1 question
- Was hyperparameter tuning for an ML model performed on the training set?
Schnucks
Data Scientist
Mid Easy Neutral experience No offer 2 rounds
Interview process
Recruiter call Phone screen Onsite
Interview formats
Behavioral Technical
Had a phone interview first, then a zoom interview. The manager spoke with me first, going over my resume and asking about my projects. For the second interview, the team asked for more details on one of the projects I worked on.
Confirmed questions1 question
- What are the trade-offs between bias and variance?
Schnucks Data Scientist Interview Questions
Quoted word for word from Schnucks interview reports.
“What are the methods for tuning hyperparameters in Random Forests?”
Read reports →“Was hyperparameter tuning for an ML model performed on the training set?”
Read reports →“What are the trade-offs between bias and variance?”
Read reports →“Could you demonstrate how to write a linear regression?”
Read reports →“Can you do live-coding with SQL and Python/R to solve date related problems?”
Read report →“Can you explain how you go about validating your models?”
Read report →“What is your ML knowledge?”
Read report →“Can you tell me about the Shiny apps you have designed previously?”
Read report →“Tell me about your resume and detailed projects.”
Read report →Formats, difficulty and experience
Across all 5 Schnucks interview reports.