Data Scientist applicants have rated the interview process at Sparx Learning with 3.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 67.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 14 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at Sparx Learning overall takes an average of 38 days.
Common stages of the interview process at Sparx Learning as a Data Scientist according to 2 Glassdoor interviews include:
I applied online. The process took 2 weeks. I interviewed at Sparx Learning in Dec 2017
Interview
For this position you submit your CV and complete some generic written such as "Why Sparx and why this role". After this I had to complete ~80 minute test (18 questions) where I was given a set of data and was told to analyse it and extract information from the data set - If I remember correctly, they recommended using Python or MATLAB, or another language (which I can't remember what it was).
In the end I did not meet the qualifying criteria for the competency test so my application was not progressed further.
Interview questions [1]
Question 1
There were a variety of questions which utilised the large data set given to you, most if not all of it was trying to extract specific data points of interest and there were some questions which asks about statistical analysis (which I could not answer)
Initial application form followed by a competency data analysis test analyzing a given data set in a choice of MATLAB, R or Python. After this there was a pre-recorded video interview using HireVue. I did not make it past this stage. Sparx took a week to get back to me on each stage of the application.
Interview questions [1]
Question 1
Describe a time when you've worked with a large data set and what you did to analyze it.