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Manager, Data Science

Monumental Sports & Entertainment


Apply by 5/31/2024

Posted 1 month ago

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Location


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!

Responsibilities:

  • 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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