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PLAYSTUDIOS 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
57.1% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at PLAYSTUDIOS.

Showing 3 of 7
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PLAYSTUDIOS

Data Scientist

Analytics · more than a year ago

Mid Average Positive experience No offer 3 rounds
Interview process
Recruiter call Take home Technical screen Background check
Interview formats
Behavioral Technical Coding

I applied online. The first interview was with an HR person, who was very nice. They asked about my education, work experience, and what I expect from a data scientist role. That went well. Then I got a challenging assignment in SQL, Python, and probability, which I also did well on. The second interview was again with HR, focusing more on my work history, background, and personal details. That also went well. The third interview was more professional, with the head of data and another senior data team member. They were very direct, asking questions to gauge my thinking and behavior under stress. I received a rejection a week later.

Confirmed questions1 question
  • Suppose a company forecasted their 2020 revenue, but the actual revenue at year's end was different. The executives believe Covid-19 impacted this. How would you determine Covid-19's effect on the revenue?
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PLAYSTUDIOS

Data Scientist

Analytics · more than a year ago

Mid Average Neutral experience No offer 3 rounds
Interview process
Recruiter call Take home Phone screen
Interview formats
Technical Coding

The process in this company was: I had a phone call with HR, then a quick home test on Google Forms that takes an hour or so, and then an interview with the Data Science team leader. I guess there is more, but I don't know.

Confirmed questions3 questions
  • Regarding a game, if we want to find out if a user is about to leave, what features would you want to know to predict churn rate, and which model would you use?
  • What problems might you encounter with the model, and how would you address them?
  • Can you explain the differences between a type 1 error and a type 2 error?
PLAYSTUDIOS logo
PLAYSTUDIOS

Data Scientist

Analytics

Mid Average Positive experience No offer 3 rounds
Interview process
Recruiter call Take home Technical screen
Interview formats
Technical Coding

My experience with the Playstudios hiring process was excellent — even though I didn’t receive a final offer. The hiring manager and interviewers were professional, respectful, and highly engaging throughout the process. The assignments were well-designed, meaningful, and came with detailed, constructive feedback. I truly appreciated the professionalism and transparency shown at every stage.

Confirmed questions1 question
  • A classification task involving a calibration model was presented.

PLAYSTUDIOS Data Scientist Interview Questions

Quoted word for word from PLAYSTUDIOS interview reports.

Can you explain the differences between a type 1 error and a type 2 error?

Read reports

Suppose a company forecasted their 2020 revenue, but the actual revenue at year's end was different. The executives believe Covid-19 impacted this. How would you determine Covid-19's effect on the revenue?

Read reports

Regarding a game, if we want to find out if a user is about to leave, what features would you want to know to predict churn rate, and which model would you use?

Read reports

What problems might you encounter with the model, and how would you address them?

Read report

Could you detail the home assignment about analyzing a problem and providing insights?

Read report

Formats, difficulty and experience

Across all 7 PLAYSTUDIOS interview reports.

Interview formats

Technical 41.2%
Coding 23.5%
Behavioral 23.5%
Other 5.9%
Presentation 5.9%

Interview difficulty

Easy 14.3%
Average 85.7%
Difficult 0%

Candidate experience

Positive 57.1%
Negative 28.6%
Neutral 14.3%