I applied online. I interviewed at Intuit in Jul 2019
Interview
Interview was professional with typic data science questions. First is introduction of each other, then is the technical interview about data science and last about any questions I was interested.
Interview questions [1]
Question 1
Tell me about yourself. Tell me about one of your project
The process took 2 weeks. I interviewed at Intuit (San Diego, CA)
Interview
Broken interview process, Leetcode style programming. They are more looking for software engineers for their data science teams too. They design mostly algorithm/data structure leetcode questions to filter the data science applicants.
No statistical question, no business insight questions, no machine learning question, no real-life situation problem solving questions.
If you do not have a background in software engineering and you are not a leetcoder, do not waste your time.
This is a broken system. Not mentioning many people have the questions already, from their friends who already work there.
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