The Toronto Blue Jays are seeking a highly motivated and creative Baseball Research Analyst to conduct baseball research and contribute to ongoing departmental research. Additionally, the analyst will create tools that incorporate data into the decision making process, as well as learn how decisions are made in all areas of Baseball Operations and work to improve those processes.
Please note that this is a full-time position.
Responsibilities and Duties:
Experiences and Job Requirements:
Please email a copy of your resume to email@example.com and answer these 3 prompts in the body of the email. Please limit your answers to no more than one paragraph per question.
Meg is the managing editor of FanGraphs and the co-host of Effectively Wild. Prior to joining FanGraphs, her work appeared at Baseball Prospectus, Lookout Landing, and Just A Bit Outside. You can follow her on twitter @megrowler.
Let’s play a game. How much would this position pay in the non-baseball private sector?
First off, this isn’t an analyst role. With R/Python, SQL, and Ruby, this is data scientist position. Actually having web design experience would make it beyond your standard data scientist.
So we’re talking CA$90,000.
Hopefully this $1.3 billion company can afford to pay that.
(Salary source: Glassdoor “Toronto Data Scientist”)
“Demonstrated experience with machine learning methods, including clustering, random forests, boosting, and neural networks is a plus but not required.”
This makes it data scientist. Knowing those languages doesn’t – many, many analysts in Silicon Valley know R, Python, SQL and more yet don’t do data science. The science part is the modeling.
Someone who builds models using Pyhton and SQL here, I do not consider myself a data scientist
I also hope the Jays are paying a competitive wage! I wonder if being part of large-company Rogers would limit how low they could go for desperate baseball nerds. They Jays posted something almost identical about 3 years ago. I applied then and made it through a couple of assignments before I was told thanks but no thanks. It was a fun and interesting experience, if nothing else.
Which is to say that I had/have the technical skills to get past screening, but didn’t wow them enough to be hired, so I’m probably a reasonable comparison. I was making about $75k at the time, and make about twice that now.
For what it’s worth, I got the impression that my (total) lack of experience in organized baseball was too much for me to overcome. I’m good with the stats and data but not overwhelmingly so.