Job Description
Are you ready to shape the future of global sports technology? Global Sports Tech Solutions is seeking a visionary Senior Data Scientist to lead our analytics division for the historic 2026 FIFA World Cup. This is a unique opportunity to work on a project of global magnitude, leveraging big data to optimize fan experiences, manage logistics, and drive strategic decision-making for the largest sporting event in history.
Why Join Us?
We are at the forefront of transforming how the world experiences major sporting events. As part of the 2026 initiative, you will have the chance to work with state-of-the-art technology, collaborate with industry leaders, and impact millions of fans globally.
Responsibilities
- Design and deploy scalable machine learning models to analyze complex datasets related to ticketing, venue capacity, and fan behavior.
- Collaborate with cross-functional teams to integrate real-time data streams into live operational dashboards.
- Develop predictive algorithms to forecast crowd flow and optimize resource allocation across 16 host cities.
- Translate complex data findings into actionable insights for executive leadership and operational stakeholders.
- Ensure data integrity, security, and strict compliance with global privacy regulations (GDPR/CCPA).
- Lead mentorship and code reviews for junior data scientists within the team.
Qualifications
- Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in data science, machine learning, or advanced analytics.
- Proficiency in programming languages such as Python, R, and SQL.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, or GCP).
- Strong understanding of statistical modeling, A/B testing, and time-series forecasting.
- Exceptional communication skills with the ability to present technical concepts to non-technical audiences.