Looking for new colleagues

It’s been almost 3 years since I started aLook. First as one-man-show, later joined by friends and family. During this time we worked on more than 60 projects with many partners for clients all over the world. It seems we mostly did a good job if I can say that from the returning customers and partners recommending us to their clients. And now we’re hiring!

Trying to motivate the team to work during our first hackathon. 1994 Sid Meier’s Colonization on a phone shared via Apple TV is hard to beat…

We had a lot of fun and we also learnt a lot. Working across industries, for retail banks, e-commerce, manufactures, HR-tech companies or hospitality businesses brings a lot of stress. Every problem is (almost) unique, tech stack is different, data quality and consistency varies.

I’m grateful for any project (and plus I’m not a very patient person), so I want to deliver an end-to-end solution to the client very quickly in a matter of days and then iterate in fast loops. I believe this is the way to learn the ropes as a data scientist. I’m convinced that data science is a craft. You need to deliver hundreds of projects to form a habit of optimising procedures in MySQL, setting-up a cloud environment or building a predictive model in Python.

We’re nowhere near where I want us to be. But we’re on the right track. The complexity of the projects we work on increases, we always learn something new and we are helping our clients in their business.

We are always transparent to our clients, leaving the codes behind, and despite my resilience to writing we share some of our use cases and blog posts online.

But we also like to have a normal life. We have families, hobbies, we like to live wherever we want or take a day off when it’s nice outside. We made a conscious choice of working remotely, from our living rooms, coffee shops, hotel rooms or tents. We believe that you can organise your work around your life.

And now we are hiring. We’re looking for data scientists and data engineers and any combo of these two. I’m sure I don’t have to describe what that means and come up with yet another boring attempt of a killer description of our jobs. So let me just state that we appreciate solid coding skills (preferably Python), ML and stats knowledge, basics to survive as a stand-alone data guy (SQL, UNIX, APIs). Whatever strengths are welcome!

A good thing is that you don’t necessarily need to be a pro already. We’re more than happy to share our knowledge and learn together with a graduate. You just need a strong will.

If you are interested please get in touch with me at adam.votava@alookanalytics.com.

Thanks for sharing!

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