Basic Info:
Data Scientist
Full-time
Major League Baseball
Key Requirements:
- 2-4 years of relevant experience in Data Science
- Bachelor's degree or higher in a quantitative field such as mathematics, statistics, computer science, etc.
- A strong foundation in probability, statistics, and algorithm development
- Programming skills that allow you to be self-sufficient in handling large datasets (Python, SQL, Scala, Java)
- Experience with statistical tools or packages: Python (strongly preferred; specifically with scipy, numpy, scikit-learn etc), R, SAS, SPSS, or Matlab
- Experience programmatically structuring and cleaning data, and not just analyzing highly cleaned data sets
- You're a self-starter that's highly accountable and will take ownership of delivering your work
- Strong understanding of building models, ability to validate and measure efficacy of models via various metrics, and the knowledge to know what metrics make sense for which situation
- Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
- Experience with cloud services platforms (Amazon Web Services, Google Cloud, etc.)
Application Link:
https://www.glassdoor.com/job-listing/data-scientist-major-league-baseball-JV_IC1132348_KO0,14_KE15,36.htm?jl=3350256041&ctt=1570766466678