The Astros are looking for a new analyst to join our R&D team. We deal with every aspect of the game, from supporting coaches developing minor league players to determining where a left fielder should stand given a certain batter/pitcher matchup. We have mountains of data, and we have an organization that is willing to listen to the analysts and try things out. If you're interested in feeding terabytes of data into powerful machines and leveraging your considerable cleverness, education, and domain knowledge to make a 3" ball go faster- we want to hear from you. We're a generally Bayesian group, and so we're looking for someone who has experience with some Bayesian tools. On the python side we use quite a bit of numpyro (and we love JAX) and there are some RStan models floating around too. Really we want someone who thinks it's fun to stay at the cutting edge. We have a ton of data, we care about out of sample prediction, and I haven’t seen a p-value since I started working here (which is a good thing). Knowing about and loving baseball is not a requirement, but it would be a plus. You don't have any game time duties, but you do get free tickets.
The Astros are looking for a new analyst to join our R&D team. We deal with every aspect of the game, from supporting coaches developing minor league players to determining where a left fielder should stand given a certain batter/pitcher matchup. We have mountains of data, and we have an organization that is willing to listen to the analysts and try things out.
