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Job Summary:
The role of the Senior Data Scientist will be to build, maintain, test, and communicate a wide variety of predictive models and analyses that will help to inform all aspects of baseball operations.
Job Duties:
- Build and support predictive models for player evaluation, player development, advance scouting, and other baseball-related topics.
- Collaborate in the design and planning of new predictive models and assist others with machine learning and statistical projects.
- Evaluate new sources of data for quality and predictive power.
- Work closely with data engineers, analytics engineers, and application developers in developing end to end analytical pipelines.
- Present conclusions and recommendations to others in Baseball Operations and incorporate their feedback.
- Help ensure that leaders in Baseball Operations have up to date information in terms of player projections and statistics.
Education/Experience Required:
- Bachelor's degree, master's degree, or PhD in statistics, data science or related field.
- 3+ years professional experience using baseball data to build predictive models.
- Expertise in R and/or Python for data science.
- Expertise in SQL.
- Ability to independently apply machine learning, advanced statistical methods, and deep learning to solve business problems.
- Strong ability to communicate and explain statistical topics to a wide variety of audiences.
- Experience interacting with the cloud such as AWS, Microsoft Azure, or Google Cloud.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.
