Data Science applicants have rated the interview process at Stripe with 3.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 43.2% positive. This is according to Glassdoor user ratings.
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Got the standard HR screening and an interview with a hiring manager. Then was given a take home case assignment. They said it would take <8 hours; it ended up taking nearly double that. A lot of time was spent trying to open their data files (given in 1m+ row Excel files). You synthesize and write a proposal document to submit for review.
I applied through an employee referral. The process took 2 months. I interviewed at Stripe (San Francisco, CA) in Apr 2019
Interview
Phone screen talking through a case study. Written coding/analysis project on classifying users and predicting future growth. Onsite interview included five interviewers and 1 lunch partner. Topics covered interpersonal skills, past work, presenting analysis, case studies, and problem solving. One more phone screen covered values, case studies, and problem solving. I struggled due to inexperience, better-prepared people should have no problem. Team was full of great people, highly recommend!
Interview questions [1]
Question 1
Describe your favorite analysis you've done, what you did and how you did it.
sql, take home test with coding, stats. mixture of different assessments all in one day.
task related to modelling of customer spend freqency/churn, was also asked about competencies, and ab testing.
I applied through a recruiter. I interviewed at Stripe (Toronto, ON) in Apr 2025
Interview
I had a screening call with a senior, turned out he’s not the hiring manager. Then, I had a take home assignment. Then, they just told me that there’s no team that matches with me, and I just have to wait.