I applied online. The process took 2 weeks. I interviewed at Cash App (San Francisco, CA) in Aug 2022
Interview
Decent process good recruiter. He reached out to me along with another division head and called me for the interview. I took 1 week to prepare and at the end they said I scored 1 mark less in python so rejected me.
Interview questions [1]
Question 1
Recruiter call
Sql test with 5 questions - speed and method is important
Python test - not algorithms - string and dictionaries focused
Hiring manager interview
I applied through an employee referral. I interviewed at Cash App (San Francisco, CA)
Interview
The case study was quite difficult—harder than most companies I’ve seen. It seems they prioritize experienced candidates. It involved advanced SQL queries and Python pandas for data manipulation.
Python - pandas
Met with recruiter, pandas screen and hiring manager. The recruiter was very helpful and gave a lot of information on what to expect. The pandas screen was not difficult, but there was an ambiguous question I wasn't sure how to answer.
Data Scientist applicants have rated the interview process at Cash App with 3.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 25% positive. To compare, the company-average is 47.3% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 14 days to get hired, when considering 4 user submitted interviews for this role. To compare, the hiring process at Cash App overall takes an average of 29 days.
Common stages of the interview process at Cash App as a Data Scientist according to 4 Glassdoor interviews include:
Phone interview: 50%
One on one interview: 25%
Skills test: 25%
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