Job Description
Are you ready to shape the legacy of the 2026 FIFA World Cup? Global Event Systems Inc. is seeking a visionary Data Scientist to lead our analytics division in New York. In this high-impact role, you will leverage advanced machine learning to optimize fan experiences, predict ticket demand, and streamline stadium operations for one of the world's most anticipated sporting events.
We are looking for a strategic thinker who thrives in a fast-paced environment and is passionate about the intersection of technology and global sports. You will be at the forefront of data-driven decision-making, ensuring the 2026 World Cup is a benchmark for operational excellence.
Responsibilities
- Develop and implement predictive models to forecast ticket sales, attendance patterns, and fan demographics for the 2026 event.
- Analyze real-time fan data to optimize crowd control, security logistics, and digital engagement across venues.
- Collaborate with engineering and operations teams to integrate data pipelines and ensure data integrity across the event ecosystem.
- Present complex analytical insights to executive stakeholders to drive strategic planning and resource allocation.
- Design and maintain dashboards for monitoring key performance indicators (KPIs) related to event logistics and fan satisfaction.
Qualifications
- Master’s degree in Computer Science, Data Science, Statistics, or a related field.
- 5+ years of professional experience in data science, machine learning, or advanced analytics.
- Expert proficiency in Python (Pandas, Scikit-learn) and SQL.
- Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure) is highly preferred.
- Strong understanding of statistical modeling and A/B testing methodologies.
- Excellent communication skills with the ability to translate technical jargon into actionable business insights.