I applied online. I interviewed at Intuit (Tel Aviv-Yafo) in Dec 2020
Interview
Process steps:
1. Interview with the recruiter
2. Interview with the team leader (she talked about the company and the team + I introduced myself self + basic questions in modeling)
3. Home assignment (data: Purchase log + whether the buyer is male or female. Prediction: male/female)
3. Set of interviews
3.1 they asked me to make a 'PowerPoint' presentation (at home) that includes self-presentation + a professional achievement presentation (technical details and impact).
and present the presentation in this part of the interview
3.2 Technical interview -
Descriptive Question A: Given sentences in Lowercase.
You need to identify the words in which Uppercase should be added - without the use of NLP techniques (or NLTK etc.). They aiming for segmentation (which is a crazy and impractical answer).
It was very difficult to understand the restrictions of the question (especially since they once said that "X" could not be performed to solve the problem and then said that X was possible and asked why I did not do did it)
Descriptive Question B - Describe 3 models (technical) (unfortunately for this part I had only 10 minutes).
I did not think I would be able to properly explain XGboost / Catboost in 10 minutes, so I chose simple models like a tree and RF, but then I was told that I needed to get familiar with newer models
3.3 Cultural-functional interview
3.4 Hiring Manager interview
Interview questions [1]
Question 1
Describe 3 models (technical)
Given sentences in Lowercase.
You need to identify the words in which Uppercase should be added
2 rounds, one technical and one case. Make sure you present it in the best way possible. Be prepared to answer some work authorization questions from the recruiter as well
I applied through a recruiter. I interviewed at Intuit in Jan 2025
Interview
Recruiter reached out to me. Set up a call with recruiter and scheduled a technical phone screen. Phone screen covered a probability question and an exercise with a csv file in an environment like Jupyter Notebook. Got moved to the next stage.
Interview questions [1]
Question 1
Question about conditional probability.
Coding question in Jupyter Notebook with Python and pandas and a provided csv file.
I applied without referral, HR called me and had intitial review, then had 1 hour tech interview, talked about my past projects, and 30 minutes pandas coding.
The whole process is quick and pleasant, especially the HR is very responsive.
I like the interview, unfortunately I didn't make it to the final.
Interview questions [1]
Question 1
Some question about pandas, data manipulation, I worked it out, but not the optimal solution, so they failed me