Position: Analyst, Baseball Research

Description:

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:

Design, test, implement and maintain advanced baseball metrics and predictive models using statistical techniques in order to contribute to strategy and decisions across all departments within Baseball Operations.

Conduct empirical research related to baseball strategy and player evaluation, with an understanding of how findings would apply to better decision making and increased operational effectiveness.

Collaborate with the front office, coaches and scouts to develop best practices for analyzing and displaying baseball data, including the creation of reports, charts, graphics, and other tools to deliver information to end users. Results of this work should help those within the organization better understand, consider and apply the use of information and data to their decisions and operation on a daily basis.

Collaborate with members of the Research and Development Department to provide constructive feedback on their projects.

Complete ad-hoc database queries and analysis as dictated by circumstances.

Recommend new data sources for purchase and/or new techniques to gather proprietary data.

Work to integrate new information into existing Baseball Operations processes and infrastructure.

Experiences and Job Requirements:

Passion for baseball and excellent reasoning, problem-solving, creative thinking, and communication skills.

Demonstrated ability to successfully design and execute rigorous quantitative research projects.

Published quantitative research about baseball (either online or print), related experience with sports teams or facilities, and/or open source code to review is a plus.

Strong understanding of current baseball research.

Proficiency with R, Python or other similar mathematical language is required.

Proficiency with SQL and relational databases is required.

Understanding of Python, Perl, Ruby or other similar scripting language is a plus but not required.

Demonstrated experience with machine learning methods, including clustering, random forests, boosting, and neural networks is a plus but not required.

Experience with web design is a plus but not required.

Strong interpersonal skills to communicate effectively with a wide range of individuals including members of the front office, scouts, and field staff.

Ability to read, speak and comprehend English effectively.

Ability to work evening, weekend and holiday hours.

To Apply:

Please email a copy of your resume to baseballresumes@bluejays.com and answer these 3 prompts in the body of the email. Please limit your answers to no more than one paragraph per question.