First part - Describe your professional background, education, experience, and projects (contribution, challenges and how they were solved)
Second part - technical questions
Home assignment - EDA, preprocessing (Encoding, Imputation), modeling, Fine tuning and Evaluation
Interview questions [1]
Question 1
How to split your train and test to prevent target leak
I applied online. The process took 1+ week. I interviewed at Lemonade Insurance (Tel Aviv-Yafo) in Oct 2024
Interview
I failed in the first technical interview. The interviewer is very nice, who will ask you first your experiences and ask you to pick a specific project you want to elaborate on. Then they will start asking you machine learning questions that relates to their product (i.e. insurance related) with gradual increase in difficulty and detailed. I got asked first what types of data to collect, what are the algorithms for this type of question, if we change up the product requirement a bit how we should adjust the model, how to evaluate etc. It's a very interesting process and the whole vibe is great.
Interview questions [1]
Question 1
How should you build and evaluate a regression model if your target is only 'ranking' and not 'real values'?
Data Scientist applicants have rated the interview process at Lemonade Insurance with 3.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 52.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 8 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at Lemonade Insurance overall takes an average of 18 days.
Common stages of the interview process at Lemonade Insurance as a Data Scientist according to 2 Glassdoor interviews include:
Phone interview: 40%
One on one interview: 20%
Skills test: 20%
Presentation: 20%
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