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Pocket Gems Data Scientist Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 7 interview experiences · FREE TO READ

2.9 Rounds average
Average Typical difficulty
28.6% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Pocket Gems.

Showing 3 of 7
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Pocket Gems

Data Scientist

Analytics · more than a year ago

Senior Average Neutral experience No offer 3 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Technical Behavioral

The overall process was fine. The interviewer was the director, and they're looking for folks with experience. The team itself doesn't really focus on A/B Testing; that's handled by another group in the company.

Confirmed questions3 questions
  • Can you explain what a P-value is?
  • What is overfitting in your own words?
  • Could you describe what an AB test is?
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Pocket Gems

Data Scientist

Analytics

Entry Average Positive experience No offer 5 rounds
Interview process
Recruiter call Phone screen Take home Technical screen Onsite
Interview formats
Technical Coding Presentation

I was reached out via email and then had a phone interview the following week. The interviewer was super nice and the topics were engaging. They gave me this cool assignment that involved designing an A/B test and doing an ML categorization task. A few days after I sent it back, I got another call to go over the assignment and my past work. Then, they invited me to San Francisco for the final round. Overall, I really liked the whole thing and everyone was so friendly. Sadly, I didn't get an offer in the end.

Confirmed questions1 question
  • How would you design and execute A/B tests?
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Pocket Gems

Data Scientist

Analytics

Mid Average Negative experience No offer 1 round
Interview process
Recruiter call Phone screen
Interview formats
Case Behavioral

Got contacted after applying and scheduled a phone interview for a week later. The interviewers wanted a self-introduction, but they weren't really interested in my past experience. Instead, they asked a case question that didn't have a clear goal or enough background info, yet they expected a very specific answer. The interviewer didn't seem to realize that the question statement itself was confusing due to bad logic, not just jargon.

Confirmed questions1 question
  • Could you outline a strategy for developing an ads bidding system and convince senior management of its profitability?

Pocket Gems Data Scientist Interview Questions

Quoted word for word from Pocket Gems interview reports.

Create a basic Python machine learning model to predict the likelihood of a user converting. The focus is on your model-building process, data selection for training, and target variable definition, not on extensive feature selection, engineering, or tuning.

Read report

Which group of users would you pick for the promotion, and why, based on the sample data?

Read report

Formats, difficulty and experience

Across all 7 Pocket Gems interview reports.

Interview formats

Technical 37.5%
Case 18.8%
Behavioral 18.8%
Presentation 12.5%
Coding 12.5%

Interview difficulty

Easy 14.3%
Average 71.4%
Difficult 14.3%

Candidate experience

Negative 28.6%
Positive 28.6%
Neutral 42.9%