Link to Apply: Apply Here
Role Summary:
As a Senior Analyst specializing in predictive modeling, you will play a pivotal role in transforming data into actionable insights to guide critical decisions across the organization. You will be responsible for developing and deploying sophisticated Bayesian models and automating workflows for cloud-based model deployment. Your role involves collaborating with cross-functional teams and aiding in player evaluation and strategic decision-making.
Key Responsibilities:
· Lead the development and deployment of advanced predictive models using Bayesian methods.
· Collaborate with cross-functional teams to integrate predictive modeling into cloud-based applications and tools for baseball decision support.
· Mentor and provide technical guidance to junior analysts in the department, fostering a culture of continuous learning and innovation.
· Stay abreast of emerging trends and technologies in data science and baseball analytics, identifying opportunities for innovation and improvement.
Qualifications:
· Bachelor’s degree or equivalent experience in statistics, mathematics, computer science, or a related quantitative field.
· 5+ years of experience building and deploying predictive models, with expertise in Bayesian methods using technologies such as Stan or PyMC.
· Proven track record of success in productionizing models in cloud environments, with experience in platforms such as AWS, Azure, Snowflake, or Google Cloud.
· Strong proficiency in statistical programming languages such as R or Python, as well as SQL for data manipulation and analysis.
· Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
· Passion for baseball and a deep understanding of 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.
Link to Apply: Apply Here