Sarah Gelles writes:
We are currently looking to hire a Bayesian Statistician to join the Houston Astros’ Research & Development team. They would join a growing, cutting-edge R&D team that consists of analysts from a variety of backgrounds and which is involved in all key baseball decisions at the Astros.
Here’s a link to the job posting on Stack Overflow; if anyone in particular comes to mind, we’d appreciate your encouraging them to apply. They’re also welcome to reach out to me directly if they want to further discuss the role and/or working in baseball.
They just need one more left-handed Bayesian to put them over the top.
Must be able to bang on trashcan when cued.
Sure, but that’s only a small part of the job.
Large enough that it should have been included in the Physical Demands section.
May be called on to model the value of illegal sign stealing?
“May be called on to model the value of illegal sign stealing?”
The instant this story came out, an entire cohort of baseball statisticians began puzzling over this very question, and within a few days, there were some pretty clever slice-and-dice efforts on the data:
https://blogs.fangraphs.com/how-much-did-the-astros-really-benefit-from-sign-stealing/
https://blogs.fangraphs.com/which-players-might-have-benefited-from-the-astros-sign-stealing/
Generating sign stealing algorithms actually seems like a pretty interesting statistical problem.
Andrew: how can Sarah be contacted?
[email protected]
Reach out to me. I have a burning passion for the love of baseball, a Mechanical Engineering degree from UT Tyler, am very analytical and detail oriented and would love to hear back from you on this!
[email protected]