Glassdoor users rated their interview experience at Learn To Forecast as 100% positive with a difficulty rating score of 3 out of 5 (where 5 is the highest level of difficulty). Candidates interviewing for Data Science Intern and rated their interviews as the hardest, whereas interviews for Data Science Intern and roles were rated as the easiest.
The hiring process at Learn To Forecast takes an average of 7 days when considering 1 user submitted interviews across all job titles. Candidates applying for Data Science Intern had the quickest hiring process (on average 7 days), whereas Data Science Intern roles had the slowest hiring process (on average 7 days).
There was a three hour long data science challenge that involved coding in Python in order to solve a machine learning problem (scenario), followed by a walkthrough of the code and a short interview.
Interview questions [1]
Question 1
If I had any previous experience in machine learning.
I applied through other source. The process took 1 week. I interviewed at Learn To Forecast
Interview
You would be handed a data science challenge which consists of analysing a dataset using pandas and scikit-learn. You need to finish your work within three hours and then you need to present your work.