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Data science can look very different from one company to the next, and it\\u2019s generally difficult to get a consistent opinion on the question of what a data scientist really is.

That\\u2019s why it\\u2019s so important to speak with data scientists who apply their craft at different organizations\\u200a\\u2014\\u200afrom startups to enterprises. Getting exposure to the full spectrum of roles and responsibilities that data scientists are called on to execute is the only way to distill data science down to its essence.

That\\u2019s why I wanted to chat with Ian Scott, Chief Science Officer at Deloitte Omnia, Deloitte\\u2019s AI practice. Ian was doing data science as far back as the late 1980s, when he was applying statistical modeling to data from experimental high energy physics as par of his PhD work at Harvard. Since then, he\\u2019s occupied strategic roles at a number of companies, most recently including Deloitte, where he leads significant machine learning and data science projects.