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Handling Criticism at Work as a Data Scientist
Reflection and lessons from my performance review as a first-year data scientist
“Pain plus reflection equals progress”: a famous quote by Ray Dalio, investor and founder of the largest hedge fund in the world.
The quote implies the pursuit of truth at all costs, or in other words, having an open mind and disconnecting ourselves from our ego when listening to other people’s criticism about us. It is the only way that we can truly learn from our mistakes and objectively assess our own strengths and weaknesses.
It is with this in mind that I dedicate this blog post as a reflection on the performance review that I received recently which marks the end of my first year working as a graduate data scientist.
The aim of this blog post is to not only document my own journey as a data science professional, but more importantly, I hope by being transparent, this post can enable young aspiring data scientists to get an idea of what it takes to be successful in this field. I will also be sharing some tips and tricks that were given to me by my performance manager to address my own personal shortcomings.
