Top 5 Lessons from a Senior Data Scientist

A successful data scientist needs to have solid coding skills and stay up to date with the latest artificial intelligence and machine learning algorithms. However, there are many other skills and experiences that help you succeed in data science. In this talk Megan shares five of her most helpful career lessons she's learned in over eight years as a data scientist. These lessons will include tips on advocating for your own career development, how to collaborate with other teams and more.

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After attending this talk the audience will walk away with tips and strategies for performing better in their career. While not directly related to Python, it is applicable for those who write code for their roles and are in technical positions. I will share five of the most important lessons I have learned in my 8 year career as a data scientist that have helped me earn promotions and achieve success at work. You can find a brief summary of the some of the lessons below.

It is important to know how to advocate for yourself and make sure that your contributions are noticed - this talk will discuss how to tactfully share your accomplishments. In addition the talk will go over how to collaborate with non-technical teams effectively who do not share the same coding background. I will also discuss some of the approaches I take to writing code and developing models when I start a new project.