A company recruiter reached out to me for the position. I found the business very interesting, and the team and founders are very strong, so I continued with the interview.

The position is embedded within the Data Science team. The entire process took about six weeks.

First, I had a phone screen with the recruiter. Then, I scheduled another phone call with the hiring manager, and we went through my previous working experience.

Next, I received an assignment that contained a few cases. I was asked to perform an analysis to answer one question using any language I was comfortable with. They preferred Python in the job description, and since I am currently learning Python, I wrote some Python code to complete the assignment.

Then, I was scheduled for an onsite interview to meet with five team members, a PM, and the CRO. The scheduling email mentioned that if the team did not feel the candidate was strong enough, they might end the meeting early.

• The first interview involved performing an analysis using Python.
• The second interview was to read their code and understand its functionality. Since the team's work directly reflects on the platform, they are essentially engineers, and the code is production code.

As a Python starter, I could finish some small case studies, but I was unable to write production code as well as they do. I was told the interview ended early after lunch with three team members. I did not have the chance to meet the rest of the people.

The team members were all very nice, as was the recruiter. The interview was very practical. Thanks to the interview, it motivates me to learn harder and put more effort into learning Python and Machine Learning.

Read Python Code.

Data analysis using Python.