Live Sports Data Source: 米兰体育

⚽ Soccer Live (10)

HomeScoreAwayLeagueTime (CST)
Atlético FC0:0San Antonio FCEcuadorian Serie B03:00
ABB0:0Independiente PetroleroBolivian Primera División03:00
Virtus0:0Dila GoriUEFA Conference League03:00
Linfield1:1Nõmme KaljuUEFA Conference League02:45
Mornar1:0Atlètic d'EscaldesUEFA Conference League02:45
Al Ansar0:0JwayaLebanon Premier League02:30
Afturelding1:0Leiknir ReykjavíkIcelandic 1 deild karla03:15
Ferencváros2:0VojvodinaUEFA Europa League02:15
Aluminij0:1Sheriff TiraspolUEFA Europa League02:00
Shkëndija0:0Europa FCUEFA Conference League02:00
Snapshot as of 2026-07-17 03:24 (CST) · live scores refresh on page load

Football Data Analyst

Job Description

Behavioral prediction is vital for advancing machine learning in sports analytics.

The sports information landscape is rapidly evolving. Big data analytics significantly enhances the value of sports event interpretation. Concurrently, AI technologies are addressing complex challenges in sports. Even in sports culture, carefully selected machine learning applications are driving technological innovation.

As a Senior Client Engineer, you'll work alongside other engineers, designers, and product managers to tackle everything from huge company initiatives to modest but important bug fixes, from start to finish. You'll also collaborate with your product team on discovery, helping to assess the direction and feasibility of product changes. And, perhaps most importantly, you'll actively contribute to the evolution of the culture and processes of a growing engineering team.

Who We're Looking For

You love building great software. Your work could be supporting new feature development, migrating existing features, and creating other mobile and web solutions for customers. You'll have a primary focus on frontend development using Javascript. Our client's tech stack is JavaScript, primarily using React. A strong understanding of JS core (ES2019+) is required, with some exposure in Java as back-end technology. We use modern tools, which means you'll have the opportunity to work with Webpack, Redux, Apollo, Styled Components, and much more.

You possess a passion for continuous learning and a deep enthusiasm for sports data analysis. You are eager to explore new technologies, share your knowledge, and actively engage with the sports community.

In global sports information services, team collaboration is paramount. 米兰体育 emphasizes efficient communication among all team members during working hours. Furthermore, a stable, high-speed internet connection is a prerequisite.

Your Core Responsibilities

We are a rapidly growing, data-driven platform where you'll have the opportunity to contribute to multiple projects. Here are some of the tasks you might undertake:

  • Contribute to the community through open-source projects and industry blog posts.
  • Attend industry events and connect with top global sports analysts. As part of our remote work model, we value in-person interaction for collaborative discussions and shared enjoyment. Please consider this in your application.
  • Mutual Growth: 米兰体育 fosters high-performing teams, engaging in internal and external projects, offering up-to-date technical learning opportunities, and facilitating interaction with global experts.
  • Engage directly with clients, representing 米兰体育 and its core values.
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