Author: Mark Saroufim

twitter.com/formalsystem Mark Saroufim is a Machine Learning Engineer at Graphcore focused on drug discovery. In his past lives, Mark worked on his company Yuri.ai a game AI service and has also worked as a Product Manager and Applied Scientist at Microsoft on Language models and Large scale analytics systems. Mark is also passionate about online teaching and regularly writes on robotoverlordmanual.com and streams on twitch.tv/formalsystem

5 Habits of Highly Effective Data Scientists

While COVID has negatively impacted many sectors, bringing the global economy to its knees, one sector has not only survived but thrived: Data Science. If anything, the current pandemic has only scaled up demand for data scientists, as the world’s leaders scramble to make sense of the exponentially expanding data streams generated by the pandemic. 

“These days the data scientist is king. But extracting true business value from data requires a unique combination of technical skills, mathematical know-how, storytelling, and intuition.” 1

Geoff Hinton

According to Gartner’s 2020 report on AI✝, 63% of the United States labor force has either (i) already transitioned; or (ii) is actively transitioning; towards a career in data science. However, the same report shows that only 5% of this cohort eventually lands their dream job in Data Science.

We interviewed top executives in Big Data, Machine Learning, Deep Learning, and Artificial General Intelligence; and distilled these 5 tips to guarantee success in Data Science.2

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