Major League Soccer

Director, Strategy & Business Intelligence, Data Science

Job Locations US-NY-New York
ID
2022-1768
# of Openings
1
Category
Strategy and Business Intelligence

Overview

Major League Soccer’s Strategy and Business Intelligence group is tasked with supporting strategic decision making and resource allocation across the League – with a focus on driving fan growth, revenue capture, and operating efficiencies – by providing impactful data driven insights, analysis, and recommendations.  The group is seeking a new Director to oversee the development of a Data Science vertical.  This position will utilize financial, event, and tracking data to analyze, model, and drive strategic recommendations that support the on-field product, player development, and optimize transfer activity. This hire is highly curious and analytical, able to distill clarity from complexity, and has an entrepreneurial desire to innovate.

 

Responsibilities

Primary Responsibilities

  • Develop a vision and roadmap for the Data Science vertical that helps shape future strategic decision making with business intelligence and data science solutions.
  • Utilize deep knowledge of modern statistical and machine learning techniques to answer complex business questions that support key business decisions.
  • Leverage financial, event, and tracking data to help Player and Competition business units enhance the on-field product, player development, and transfer activity.
  • Leverage commercial data (TV, Ticketing, Consumer Products, etc.) and fan data (First Party, Syndicated, Manufactured, etc.) to help grow fan base, deepen engagement, and maximize revenue.
  • Develop machine learning models that support strategic initiatives including fan segmentation, lifetime value models, quality of play, youth player development, rule changes, etc.
  • Effectively use data visualizations to socialize key findings clearly and intuitively throughout the organization.
  • Partner with technology team and data vendors to continually integrate the tools, methods, and processes supporting data collection and analysis.

 

Additional Responsibilities

  • Support broader League objectives with additional ad-hoc organizational analytics projects.
  • Additional responsibilities as assigned.

 

Qualifications

Education and Experience

  • Bachelor’s degree in a STEM field including Computer Science, Data Science, Statistics, Sports Analytics, or similar domain.
  • 8+ years of experience in a quantitative heavy analytics role (data science, analytics, research, performance, etc.) 
  • Applied professional experience conducting advanced analytics utilizing soccer data (events, tracking, GPS, etc.) and working with data vendors (Opta, Ortec, Second Spectrum, etc.)

 

Required Skills

  • Robust advanced analytical and machine learning skills (g., regression, cluster analysis, time series, etc.)
  • Mastery of a programming language (e.g., Python, R, etc.), SQL, and a visualization tool (Microsoft Power BI, Tableau, etc.).
  • Deep knowledge of the sport of soccer and understanding of event and tracking data.
  • Ability to translate business challenges into quantitative problems and clearly communicate findings and solutions.
  • Strong project management, leadership, and mentoring skills.
  • Self-starter and entrepreneurial mindset.
  • High-level of commitment to a quality work product and organizational ethics, integrity and compliance.
  • Ability to work effectively in a fast paced, team environment.
  • Strong interpersonal skills and the ability to effectively communicate, both verbally and in writing.
  • Demonstrated decision making and problem-solving skills.
  • Detail-oriented with the ability to multi-task and meet deadlines with minimal supervision.
  • Proficiency in Word, Excel, PowerPoint and Outlook.

 

 

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