Subject archive for "data-science-innovators"

When it comes to the pharmaceutical industries, machine learning, AI, and statistical computing environments (SCEs) often receive the lion’s share of media attention and seize the popular imagination in coverage that focuses mostly on technology aimed at finding interesting chemical candidates for the next breakthrough cure. But there’s a second, far more rarely covered role of data science in the quest for new cures, one that Andy Nicholls, GSK’s senior director and head of statistical data sciences, discusses inThe Data Science Innovator’s Playbook.

If you’re working in data science and are feeling like making a job change, here are some things top data science innovators say to consider as you look for a new opportunity or plan your next career move. Their career advice–and much more–is captured in the new ebook, The Data Science Innovator’s Playbook, from Domino Data Lab.

What if you wanted to do something really ambitious in data science–something like designing an innovative new search engine? Today, that would be a daunting task, and you’d probably need a big, highly qualified team of data scientists and programmers to bring your innovation to life. And you’d need months, if not years, to finish it.

How do you build a data science capability into a powerful force for making decisions about virtually all facets of your business? And how do you recruit, train, organize, and retrain members of your team, in a field where competition for talent is intense and growing? These are just a couple of the questions that Glenn Hofmann, chief analytics officer at New York Life Insurance Company, has confronted and mastered in his tenure there.