Data Scientist

hace 5 días

Madrid, Madrid, España Swish Analytics A tiempo completo
Swish Analytics: Revolutionizing Sports Analytics

At Swish Analytics, we're pushing the boundaries of sports analytics, betting, and fantasy. Our mission is to harness the power of engineering, mathematics, and sports betting expertise to deliver accurate and predictive real-time data products.

Job Overview

We're seeking a talented Data Engineer to join our team in Europe and contribute to the development of our core consumer and enterprise data offerings. As a Data Engineer, you'll play a critical role in architecting low-latency, real-time analytics systems, building new sports betting data products, and integrating large and complex real-time datasets into new consumer and enterprise products.

Key Responsibilities
  • Support production systems and help triage issues during live sporting events
  • Architect and implement low-latency, real-time analytics systems, including raw data collection, feature development, and endpoint production
  • Build new sports betting data products and predictions offerings
  • Integrate large and complex real-time datasets into new consumer and enterprise products
  • Develop production-level predictive analytics into enterprise-grade APIs
  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks
Requirements
  • BS/BA degree in Mathematics, Computer Science, or related STEM field
  • Minimum of 2+ years of demonstrated experience writing production-level code (Python)
  • Proficiency in Python and SQL (preferably MySQL)
  • Demonstrated experience with Airflow, Kubernetes, and ETL pipelines
  • Experience with REST APIs, version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
  • Knowledge of data science and machine learning concepts
  • A strong interest in sports and sports betting, with an emphasis on Tennis

Swish Analytics is an Equal Opportunity Employer. We welcome candidates from diverse backgrounds and are committed to creating an inclusive work environment.

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