Opportunity to change the entire grocery industry ($1 trillion).
Incredibly hard and unique data science problems to solve. How do you build real-time systems that will deliver the best experience for customers, shoppers, retailers, and CPG?
Even though the company has already accomplished a lot, we are only at 10% of what we can achieve in the long run; there is still so much opportunity for people to innovate and grow.
Responsibility to shape the future of work.
Inclusive and supportive workplace.
Chance to work with smart and humble people.
With hyper-growth, it is sometimes hard to navigate the complexity. The company did not focus enough on long-term goals, probably due to the always changing environment (competition, investment market, etc.). We should have hired more in the past.
Management needs to give more clarity on what the company will focus on in 1-2 years.
I had a phone call with HR, followed by a short online tech screen in Ruby. Next, I was brought in for an onsite interview. During the onsite: * I met with the CTO and discussed my preferred work environment at a high level. * I was given three hou
I completed a remote coding interview where I had to fix and create multiple features on an existing project. I then went onsite, where I answered architecture questions and completed some UI tasks.
I had a conversation with a hiring manager and then received a data engineering challenge. The challenge consisted of two tasks: data modeling and programming. For data modeling, I provided: * A designed schema in PDF files (facts, dimensions, relat
I had a phone call with HR, followed by a short online tech screen in Ruby. Next, I was brought in for an onsite interview. During the onsite: * I met with the CTO and discussed my preferred work environment at a high level. * I was given three hou
I completed a remote coding interview where I had to fix and create multiple features on an existing project. I then went onsite, where I answered architecture questions and completed some UI tasks.
I had a conversation with a hiring manager and then received a data engineering challenge. The challenge consisted of two tasks: data modeling and programming. For data modeling, I provided: * A designed schema in PDF files (facts, dimensions, relat