Senior data scientist
Task overview:
The role of the Senior Data Scientist will be to build, maintain, test and communicate a wide range of predictive models and analytics that will help inform all aspects of baseball operations.
Tasks:
- Build and support predictive models for player evaluation, player development, advanced scouting and other baseball-related topics.
- Collaborate on the design and planning of new predictive models and help others with machine learning and statistical projects.
- Evaluate new data sources 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 within Baseball Operations and incorporate their feedback.
- Help ensure Baseball Operations leaders have up-to-date information on player forecasting and statistics.
Required education/experience:
- Bachelor’s degree, master’s degree or PhD in statistics, data science or related field.
- 3+ years of 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 range of audiences.
- Experience the interaction with the cloud such as AWS, Microsoft Azure or Google Cloud.
Apply
To apply, please follow this link.
The content of this post was created and provided solely by the St. Louis Cardinals.
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