Role Summary:

As an Analyst specializing in predictive modeling within our Baseball Operations department, you will contribute significantly to data-driven decision-making processes. Your role involves developing and implementing advanced statistical models, collaborating with cross-functional teams, and aiding in player evaluation and strategic decision-making.

 

Key Responsibilities:

·         Develop and implement predictive models utilizing baseball data.

·         Collaborate with cross-functional teams to integrate statistical analyses into cloud-based applications and tools for baseball decision support.

·         Stay updated with emerging trends and technologies in data science and baseball analytics, identifying areas for innovation and improvement.

·         Provide support to Senior Analysts in model development and data analysis tasks.

Qualifications:

·         Bachelor's degree in statistics, mathematics, computer science, or a related quantitative field.

·         3+ years of experience in building and deploying statistical models.

·         Proficiency in statistical programming languages such as R or Python, as well as SQL for data manipulation.

·         Strong communication skills to convey technical concepts effectively.

·         Passion for baseball and familiarity with sabermetrics and player evaluation methodologies.

Nice to Haves:

·         Advanced degree (Master's or Ph.D.) in a quantitative field.

·         Familiarity with additional statistical techniques such as spatial statistics or time series analysis.

·         Experience with Bayesian methods using technologies such as Stan or PyMC.

·         Familiarity with cloud environments such as AWS, Azure, Snowflake, or Google Cloud.