I applied online. The process took 4 weeks. I interviewed at Hyperloop One in Jan 2020
Interview
It was a pretty long process to just get ghosted in the end.
Initially there's an online coding challenge of 1.5 hours, followed by a technical phone screen without coding, then a homework which you're given a week or so to do.
Had to hound recruiter many times to keep the process going or to get the simplest question answered.
After sending the long HW which I was given a week to do, he completely stopped returning my emails.
The phone interviewer who was probably an engineer was very agreeable to talk to.
They explained that they have a good work-life balance but pay well below market since they're not profitable
recruiter -> Coding online assignment -> technical phonescreen (no coding) ->data science homework -> ghosting
Interview questions [2]
Question 1
coding challenge:
-easy level leetcode
- medium level SQL query (you can't just wing it)
- implementation of a distributed sum algo
data science HW - 1 week
Load the BART demand data for years 2017 and 2018 from http://64.111.127.166/origin-destination/
This data represents hourly demand for BART public transport for each Origin-Destination pair.
Using any resources you can find, answer these questions with a jupyter notebook:
A) Plot the average daily (from 0 to 24h) rideship pattern, averaging all O-D pairs. Comment the peaks.
B) Plot the hourly rideship for 2 years (hour by hour for 2 years) for the 5 highest average rideship O-D pairs.
C) Plot the distribution of the trains travelled between disctricts (NOT O-D pairs). We'd like to see yearly rideship or average per hour. The district map can be found here: https://www.bart.gov/about/bod/districts . Additional points for a Chord plot usage.
D) BONUS: try to create a demand prediction model.
Feel free to google any missing information, plot any interesting / intermediate findings. Use any library you like. When you're finished, send us your jupyter notebook with code and analysis results.
Candidates applying for Applied Data Scientist roles take an average of 28 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Hyperloop One overall takes an average of 29 days.
Common stages of the interview process at Hyperloop One as a Applied Data Scientist according to 1 Glassdoor interviews include:
Phone interview: 100%
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