Quick summary
Summarize this blog with AI
Historical candidate account, July 2021. This is Jerry’s reported experience with one Stripe team. It is not a current hiring policy or a promise that another candidate will receive the same assignment or interview rounds. Ask your recruiter for the format, time expectations, and permitted tools for your role.
I got a chance to help Jerry prepare for his job search. He went through a Stripe interview process in 2021 and enjoyed the experience.
Jerry decided to join another company for personal reasons. He spoke positively about Stripe’s interview process.
In Jerry’s account, the recruiters were helpful and professional, the interviewers focused on relevant technical questions, and he enjoyed meeting potential teammates.
Here is the overall timeline:
Week 1: hiring manager phone screen
The hiring manager shared basic info about their team, problems they are focusing on, expectations about this role. A few questions on Jerry's resume, and asked a business analytics question.
Week 2: take-home assignment
It comes with a sample data set, was given a week to complete the analysis and report.
The assignment was not super hard but requires a combination of basic unsupervised learning and supervised learning to model.
The data does need some cleaning up and pre-processing.
Week 3: passed take-home assignment and scheduled final round interview.
The recruiter contacted and asked to pick a date for the final round of interviews.
Week 5: Final interview.
Six rounds overall.
Round 1: Data Processing with SQL;
Round 2: Statistics: forecasting model, how to evaluate the model performance;
Round 3: Presentation (based on the take-home assignment). Explaining findings to non-technical (business partners) in plain language.
Round 4: Product sense. A/B testing, how to decide sample size, how to deal with a situation when the test results are not significant
Round 5/6: Leadership/Behavioral questions: why Stripe? How do you deal with conflict?
Acknowledgment: we want to thank Jerry to share his wonderful interviewing experience at Stripe, and wish him good luck on his new gig.
If you ever need some help with data scientist interview preparation, please feel free to hit us up.
How to prepare from this account
Practice one small analysis from raw data to a short recommendation. Write down the unit of analysis, cleaning decisions, a baseline, and an evaluation method before choosing a model. Keep time ordered data out of earlier training periods when evaluating a forecast. For the presentation, explain what the data supports, what remains uncertain, and which decision you would make next.
For an A/B test, define the primary metric and a practically meaningful effect before calculating a sample size. A result that is not statistically significant does not establish that two treatments are equivalent. These are preparation suggestions, not additional questions attributed to Jerry or Stripe.
