Quantitative Modeling Engineer

2 weeks ago


Detroit, Michigan, United States AEG Full time
About the Company:
AEG is a leading sports and entertainment company that is committed to excellence and innovation. We are dedicated to creating memorable experiences for our fans and delivering exceptional results for our partners. Our team is passionate about using data and technology to drive business decisions and improve operations.

Job Description:
We are seeking a Quantitative Modeling Engineer to join our Baseball Systems team. As a Quantitative Modeling Engineer, you will be responsible for designing, managing, and automating data processes related to quantitative models in support of Baseball Operations initiatives. This role will report to the Director, Baseball Systems.

Responsibilities:
  • Analyze large datasets and determine the optimal methods for data preparation.
  • Collaborate with data scientists and other data engineers to build effective data pipelines.
  • Design, develop, and maintain efficient and extensible model deployment frameworks.
  • Manage, maintain, scale, and improve machine learning models in production environments.
  • Create and maintain effective access methods and patterns for production models.
  • Create support systems and dashboards to effectively communicate data insights to our data users.
  • Collaborate with the larger Systems team to plan and build data infrastructure.
  • Assist in other data engineering tasks as needed.

Requirements:
  • 2+ years of relevant work experience in data and/or ML engineering.
  • Academic, professional, and/or research experience with applied mathematical and predictive modeling.
  • Proficiency in back-end development, particularly with Python and R.
  • Experience querying SQL data warehouses built for data science and analytics.
  • Familiarity with cloud computing, cloud storage, and cloud services - preferably Azure.

What We Offer:
  • Competitive salary: $120,000 - $180,000 per year.
  • Opportunity to work with a dynamic team and contribute to cutting-edge projects.
  • Flexible working hours and remote work options.
  • Access to the latest tools and technologies.


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