Just to be clear, there are two separate positions here.

Position: Los Angeles Angels of Anaheim, Director, Quantitative Analysis

Location: Anaheim

Description:
This position is responsible for developing and overseeing the research and analytics initiative within Baseball Operations, reporting to the General Manager and Assistant General Manager. Angels Baseball is an equal opportunity employer.

Responsibilities:

• Direct and develop Quantitative Analysis staff by identifying strong candidates, supervising projects, and providing constructive feedback.
• Perform advanced quantitative analysis on baseball datasets to improve Baseball Operations decision-making, including predictive modeling and the development of an internal player projection system.
• Effectively present analysis through the use of written reports, tables, and data visualization methods to disseminate insights to other members of the Baseball Operations staff and aid in decision-making.
• Identify new techniques, models, and algorithms for application to internal processes.
• Meet with vendors and make recommendations for investment in new data and technology resources to enhance Baseball Operations decision-making.
• Contribute to general baseball decision-making and generate ideas for player acquisition, in-game strategy, and roster construction.
• Manage components of Baseball Operations budget related to Quantitative Analysis department.
• Other projects as directed by General Manager and Assistant General Manager.

Qualifications:

• Advanced degree or equivalent experience in statistics, mathematics, computer science, or a related field.
• Demonstrated ability to effectively communicate complex concepts to colleagues possessing a diverse set of backgrounds and with varying experience with quantitative methods.
• Minimum of five years work experience in mathematical, statistical, and predictive modeling.
• Demonstrated expertise with baseball datasets and sabermetric analysis.
• Demonstrated ability in problem-solving and project management and a desire and ability to act as a mentor to members of the analytics staff.
• Demonstrated expertise with R, STATA, SPSS, SAS, or similar statistical computing software.
• Demonstrated expertise in relational database development and administration with Microsoft SQL Server, MySQL, or other database systems.
• Knowledge and demonstrated ability with computer programming and machine learning techniques.

Compensation:
This position is compensated.

To Apply:
Please submit your resume and cover letter here.

Position: Los Angeles Angels of Anaheim, Baseball Information Analyst

Location: Anaheim

Description:
The Los Angeles Angels are seeking a Data Scientist for the team’s Baseball Analytics group. The Baseball Information Analyst will work closely with the Director, Quantitative Analysis and our analytics team to research, develop, and test mathematical, statistical, and predictive models that support Baseball Operations. Angels Baseball is an equal opportunity employer.

Responsibilities:

• Research, design, and test predictive and statistical models to enhance Baseball Operations decision-making.
• Provide guidance for and aid in the development of junior members of the analytics staff.
• Work with Systems Architect to design and build decision-support tools and support the development of baseball systems.
• Effectively present analysis through the use of written reports, tables, and data visualization methods to disseminate insights to other members of the Baseball Operations staff and aid in decision-making.
• Other projects and related duties as directed by Director, Quantitative Analysis.

Qualifications:

• Advanced degree or equivalent experience in statistics, mathematics, computer science, or a related field.
• Demonstrated ability to effectively communicate complex concepts to colleagues possessing a diverse set of backgrounds and with varying experience with quantitative methods.
• Excellent analytical and problem-solving skills.
• Experience with baseball datasets and sabermetric analysis.
• Demonstrated expertise with R, STATA, SPSS, SAS, or similar statistical computing software.
• Proficiency with Microsoft SQL Server, MySQL, or other relational database systems.
• Experience with computer programming and machine learning techniques.

Compensation:
This position is compensated.

To Apply:
Please submit your resume and cover letter here.