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Lead Data Scientist: 2026 World Cup Analytics

Apex Sports Intelligence
New York
Estimated Salary
USD 140.000 – USD 190.000
New
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

Be Part of History: The 2026 World Cup is Here.

Apex Sports Intelligence is seeking a visionary Lead Data Scientist to spearhead the analytical framework for the 2026 FIFA World Cup in the USA. This is a rare opportunity to shape the future of sports analytics at the highest level of global competition.

In this role, you will architect complex predictive models to optimize broadcast engagement, fan experience, and on-field performance analysis. You will work directly with executive leadership to turn raw data into actionable insights that will define the digital legacy of the tournament.

Why Join Us?

  • Impact: Work on the largest sporting event in history, hosted across three nations.
  • Innovation: Utilize cutting-edge AI and machine learning to revolutionize fan engagement.
  • Growth: Career-defining experience in a fast-paced, elite technical environment.

Responsibilities

  • Architect Predictive Models: Develop and deploy sophisticated machine learning models to forecast match outcomes and analyze real-time game dynamics.
  • Fan Engagement Analytics: Analyze massive datasets from social media, ticketing, and app usage to optimize the fan journey during the tournament.
  • Stadium Operations: Leverage IoT and sensor data to improve crowd flow, safety protocols, and facility efficiency across host stadiums.
  • Real-Time Visualization: Build scalable data pipelines that deliver instant analytics to broadcasters and on-site operations centers.
  • Strategic Roadmapping: Define the technical roadmap for data integration leading up to and during the 2026 event.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
  • Experience: 5+ years of experience in data science, machine learning, or predictive analytics.
  • Technical Stack: Proficiency in Python (PyTorch, TensorFlow), SQL, and distributed computing (Spark, Hadoop).
  • Domain Knowledge: Strong understanding of sports analytics or experience with large-scale event management systems.
  • Leadership: Proven track record of leading cross-functional teams and managing high-stakes projects.

Required Skills

Python Machine Learning TensorFlow SQL Big Data Predictive Modeling Sports Analytics Data Visualization Leadership

Ready to Take This Challenge?

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