Shelf Engine Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 6 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Shelf Engine.
Shelf Engine
Data Scientist
Entry Average Negative experience No offer 2 rounds
Interview process
Recruiter call Phone screen Onsite
Interview formats
Technical Behavioral
Had a 30 min phone chat first, the interviewer was 10 min late. Then they said the next interview is with the hiring manager and it's non-technical. But the hiring manager was also late and hadn't looked at my resume, straight into technical questions. So, expect a technical interview no matter what.
Confirmed questions1 question
- What makes you want to join Shelf
Shelf Engine
Data Scientist
Senior Average Positive experience Decline offer 4 rounds
Interview process
Recruiter call Take home Technical screen Onsite
Interview formats
Technical Coding Presentation
The interview process was pretty standard. It started with an initial screen with the hiring manager, followed by a take-home data challenge. Then there were 3 technical interviews focusing on Python, SQL, and ML, and finally, an interview with the CTO. Overall, the experience was fantastic. The recruiters, hiring manager, data scientists, engineers, and leadership were super communicative, friendly, and collaborative. It really seems like a great place to work, and everyone is really driven by the mission to reduce food waste.
Confirmed questions1 question
- Could you describe some ways to avoid overfitting with tree-based models?
Shelf Engine
Data Scientist
Mid Easy Positive experience No offer 1 round
Interview process
Recruiter call Phone screen
Interview formats
Behavioral Technical
Had a 30 min call with a manager and an HR person. Asked general questions about my motivation and prior background. They got back to me about a week later, saying they found someone with more related experience.
Confirmed questions1 question
- Can you tell me about your past ML projects and the scale of the datasets you used?
Shelf Engine Data Scientist Interview Questions
Quoted word for word from Shelf Engine interview reports.
“Could you describe some ways to avoid overfitting with tree-based models?”
Read reports →“What is your understanding of basic Python?”
Read reports →“What makes you want to join Shelf”
Read reports →“Can you tell me about your past ML projects and the scale of the datasets you used?”
Read reports →“Tell me about your experience deploying code for data science tasks.”
Read report →“Given some data science challenges the company faces, how would you go about solving them?”
Read report →“Describe your experience coding in a real-time setting.”
Read report →“Tell me about what you're currently working on.”
Read report →“Can you walk me through a data science project you've worked on, including how you approached problem-solving?”
Read report →Formats, difficulty and experience
Across all 6 Shelf Engine interview reports.