Slice 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 Slice.
Slice
Data Scientist
Senior Easy Negative experience No offer 2 rounds
Interview process
Recruiter call Take home
Interview formats
Technical
The interview kicked off with a recruiter call, though they were a bit late. After that, there was a take-home assessment. It's basically a whole analytics project about cohort analysis, segmentation, and retention, and you get a dataset with 42k rows. They mentioned it usually takes a few hours to complete. You need to deliver a markdown file and an HTML file of your analysis. It felt a bit like they were asking for free work.
Confirmed questions4 questions
- Can you define Customer Cohorts? Please group the customers in the dataset into cohorts/segments based on their first-order characteristics and the month of their first order. Make sure these cohorts are actionable and lead to business insights. Also, form hypotheses about how churn rates might differ across cohorts, which you can revisit after your analysis.
- What are the customer retention/churn rates over time for the customer groups you defined earlier? Does promotion value significantly impact retention/churn? What insights can be drawn from this analysis?
- What are the dollar value retention rates over time for each customer group? What insights can be derived from the answers to Parts 2 and 3?
Slice
Data Scientist
Mid Average Negative experience No offer 3 rounds
Interview process
Recruiter call Take home Technical screen
Interview formats
Technical Coding Case
Started with a recruiter call, then got a take-home assignment. It was about looking at order data, figuring out customer lifetime value, and thinking about sales promotions. After I sent it back, they set up a 45-minute phone interview. The interviewer interrupted me a lot while I was trying to explain how I'd guess the number of pizzerias in the US, pushing me towards her own ideas. Then she asked a dice probability question and I had to write a SQL query with aggregations and window functions based on a schema they provided. I had to chase the recruiter for an update 10 days later and found out I didn't get the job.
Confirmed questions3 questions
- How would you estimate the number of pizzerias in the US?
- What's the probability of rolling two dice and not getting a 6 on either one?
- Given a database schema, write a SQL query involving aggregations and window functions.
Slice
Data Scientist
Entry Average Negative experience No offer 2 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Technical Behavioral
The interview process felt unprofessional from the start with an uninterested interviewer. Then, another person joined the call late without introducing themselves and unexpectedly chimed in. They asked unusual questions, like estimating the number of pizzerias in NYC, as a way to gauge thinking process. It was a bad interview experience and left a negative impression of the team.
Confirmed questions1 question
- Can you estimate the number of pizzerias in NYC?
Slice Data Scientist Interview Questions
Quoted word for word from Slice interview reports.
“What's the probability of rolling two dice and not getting a 6 on either one?”
Read reports →“Can you estimate the number of pizzerias in NYC?”
Read reports →“Given a database schema, write a SQL query involving aggregations and window functions.”
Read reports →“What are some probability puzzles?”
Read reports →“Can you define Customer Cohorts? Please group the customers in the dataset into cohorts/segments based on their first-order characteristics and the month of their first order. Make sure these cohorts are actionable and lead to business insights. Also, form hypotheses about how churn rates might differ across cohorts, which you can revisit after your analysis.”
Read report →“Can you explain statistical theory?”
Read report →“What are the dollar value retention rates over time for each customer group? What insights can be derived from the answers to Parts 2 and 3?”
Read report →“What are the potential limitations of this analysis given only the provided data? What additional data would be beneficial? Please include comments and visualizations to illustrate your thought process.”
Read report →“What are the customer retention/churn rates over time for the customer groups you defined earlier? Does promotion value significantly impact retention/churn? What insights can be drawn from this analysis?”
Read report →Formats, difficulty and experience
Across all 5 Slice interview reports.