Pattern Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 8 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Pattern.
Pattern
Data Science Intern
Intern Average Positive experience Accept offer 1 round
Interview process
Technical screen
Interview formats
Technical Behavioral
The interview included technical questions, plus some questions about my resume and past experience. They asked technical questions covering basic sql, python, and machine learning knowledge. Overall, it was a good experience. I felt like they were assessing my skills while also trying to get to know me better.
Confirmed questions2 questions
- Could you write an intermediate SQL query using the provided sales data tables?
- Can you write a Python function to calculate the z-score for a given array?
Pattern
Data Scientist
Senior Easy Negative experience No offer 3 rounds
Interview process
Recruiter call Technical screen Onsite Background check
Interview formats
Technical Coding Case Behavioral
So I reached out to HR on LinkedIn first and got a referral. Then there was a quick screening call with about 10 basic questions, and they also asked for some background stuff like college and grades before setting up the first real interview. Round 1 was all about basic coding with Pandas and SQL. Round 2 was a case study related to demand forecasting for different inventory items, where we talked a lot about using XGBoost, how to engineer features, and picking the right model. Round 3 was a chat with the VP, basically a deep dive into my resume, going through each job and what I did.
Confirmed questions6 questions
- Can you explain how to construct lagged features to prevent data leakage?
- Regarding bias and variance, what would be the expected outcome if a single tree was chosen from Decision Trees, Random Forests, or XGBoost?
- Could you explain TF-IDF?
Pattern
Data Scientist
Mid Average Positive experience Accept offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Behavioral Technical Case
I had two interviews. First up was with Jed Brunson, the Chief Information Officer. It was a chill chat, mostly to see if I'd be a good fit and for me to ask questions. Then I met with Jacob Miller, Head of Data Science. He warned me his interviews can be "pretty brutal", but honestly, it wasn't too rough. We talked some SQL, then delved into machine learning models and general data science ideas. After that, he presented a real business problem and asked how I'd approach fixing it.
Confirmed questions2 questions
- How would you predict the sales for a new product on Amazon for the next three months if there's no historical data for it?
- Can you define window functions in SQL?
Pattern Data Scientist Interview Questions
Quoted word for word from Pattern interview reports.
“Can you write a Python function to calculate the z-score for a given array?”
Read reports →“Regarding bias and variance, what would be the expected outcome if a single tree was chosen from Decision Trees, Random Forests, or XGBoost?”
Read reports →“Could you explain TF-IDF?”
Read reports →“Can you define window functions in SQL?”
Read reports →“How would you predict the sales for a new product on Amazon for the next three months if there's no historical data for it?”
Read report →“Can you explain how to construct lagged features to prevent data leakage?”
Read report →“Could you write an intermediate SQL query using the provided sales data tables?”
Read report →“How would you approach a LeetCode divide and conquer algorithm problem, explaining your thought process?”
Read report →“What is a weakness of yours, and how might a manager describe you?”
Read report →Formats, difficulty and experience
Across all 8 Pattern interview reports.