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Manager, Data Science

Monumental Sports & Entertainment

Apply by 5/31/2024

Posted 1 month ago



Washington D.C., DC, USA

Job Type

Job Description

The Manager, Data Science will support operations by developing statistical models and analyses for key revenue generating areas of Monumental Sports & Entertainment’s various lines of business. This role will provide key insights and supporting data for existing initiatives and apply data-supported recommendations to encourage growth.

Are you passionate about analytics, data science, and love sports? So do we! We would love to hear from you!


  • Build predictive/statistical modeling, market research, and visualizations while developing algorithms to enhance revenue and optimize overall business performance.
  • Design new and innovative analytical solutions to predict customer behaviors and recommend actions to drive desired outcomes as well as research key trends affecting our industries.
  • Manage ongoing business models including dynamic pricing, retention, lead scoring, and sentiment analysis.
  • Build timely and compelling dashboards and visualizations for key partners via the department’s business intelligence solution.
  • Work closely with data warehouse vendor to ensure data timeliness and accuracy.
  • Evaluate new technologies and data sources for revenue generation and time/cost savings potential.
  • Perform ad-hoc analysis as needed to answer specific business questions and produce actionable insights.
  • Other duties as assigned.

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Qualifications Required

  • Bachelor's Degree.
  • 1+ years experience in data science.
  • Strong proficiency in SQL or similar database management systems.
  • Demonstrable experience working with large volumes of disparate sets of data along with extract/transform/load (ETL), data cleansing, standardization, and data warehousing.
  • Excellent organizational and communications skills, with strong critical thinking, attention to detail, and an ability to work efficiently both independently and on a team.
  • Strong programming and analytical skills in major statistical analytics software packages (R, Python, etc.).
  • Strong proficiency with business intelligence software solutions, Tableau is a plus.
  • Experience taking over ownership of existing bases of code.
  • Solid understanding of quantitative analyses such as predictive modeling, regression analysis, customer profiling and segmentation, financial modeling and other types of analysis.

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