I applied online. I interviewed at Intuit in Feb 2024
Interview
Quick call with recruiter and a 60 minute interview for a technical screening is set up. Interview description mentioned that the interview would be split up for coding and machine learning. The interview was conducted by a software engineer, which was weird as it was clear he wasn't an expert in ML. I was asked a leetcode medium question on dynamic programming which is again weird as the position is for a staff data scientist. ML questions were very light. Unsure what the purpose of the leetcode question was for data science.
The process took 2+ months. I interviewed at Intuit (San Diego, CA)
Interview
Avoid interviewing intuit if you value your time.
Their interview process for a data science role including 3/4 leetcode coding questions which does not make sense. If you are looking for software engineers, why do you advertise DS role? If you are looking for data scientist why do you evaluate them based on software engineering skills.
Data science is formed around statistics, econometrics, predictive modeling, machine learning, and data wrangling skills. Not based on Graph vs Linked List or binary search vs for loop.
Either the interview process was or I do not have a PhD in data science.
Interview questions [1]
Question 1
Leetcode medium coding questions. Both data structure and algorithms.
I applied through a recruiter. I interviewed at Intuit in Apr 2020
Interview
They asked me to work on a technical problem for 90 minutes and they said if there was any issue, a data scientist would be available to help. There were some technical issues during the interview (I installed some packages but when I wanted to load them I received an error from their platform) but the data scientist who were supposed to help me said she didn't know how to fix it. Then when I wanted to present my work, their platform crashed and my work was gone and no one of those 4 data scientists who interviewed me knew how to fix it. I expect Intuit to train their interviewers learn about their interview platform before sending them out to interview people and after the interview they said I had a good theoretical background but not a very good sense of production problems and it was funny because this feedback came from technical people who couldn't fix their own interview platform. I am so disappointed at Intuit that wasted my time.
Interview questions [1]
Question 1
- 90 minutes technical challenge (their platform collapsed at the end of that session and I couldn't present my work)
-some basic and general statistics and ML questions like the difference between random forests and gradient boosted trees.