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1 May 2024


馃嚭馃嚫 Miami, FL, USA
Full Time
3+ years exp.

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:

路 Develop and implement predictive models utilizing baseball data.

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

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

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


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

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

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

路 Strong communication skills to convey technical concepts effectively.

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

Nice to Haves:

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

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

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

路 Familiarity with cloud environments such as AWS, Azure, Snowflake, 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 identify, marital or veteran status, or any other protected status.

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