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Location
Washington D.C., DC, USA
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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