Data Scientist applicants have rated the interview process at Rippling with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 33% positive. To compare, the company-average is 36.6% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 21 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Rippling overall takes an average of 22 days.
Common stages of the interview process at Rippling as a Data Scientist according to 3 Glassdoor interviews include:
Phone interview: 40%
Skills test: 40%
One on one interview: 20%
Here are the most commonly searched roles for interview reports -
The responses are prompt, first round is a technical screen of SQL, Python, the questions are not hard with a structure of one SQL problems (3-4 questions, 15-20 min) and one Python Pandas Problem (3-4 questions, 15-20 min). I just started switching roles so I finished all but had minor error in SQL round.
Interview questions [1]
Question 1
Could you calculate the precision and recall of the outcomes?
1. Initial call with the recruiter
2. SQL & Python (pandas) coding round for 1 hour
3. Interview with the hiring manager on past projects
4. on-site interview
Although I did not get the offer, the overall experience was not bad.
I applied through a recruiter. The process took 3 weeks. I interviewed at Rippling (San Francisco, CA) in Mar 2024
Interview
Initial recruiter screen and then a technical screen. The technical screen is 1/2 sql and 1/2 python with a couple questions near the end about precision and recall scores. The recruiter was nice but the questions were worded in a weird way and they didn't explain what they were going for very clearly. Overall decent experience.
Interview questions [1]
Question 1
How would you calculate accuracy, precision, and recall?