Hawk-Eye Innovations
AI

Data Scientist Level 3

Hawk-Eye Innovations · Budapest, PE, HU

Actively hiring Posted 18 days ago

Role overview

*Data Scientist - Level 3

Salary Banding*: HUF 1M - HUF 1.5M per month

**Contract
: Full-Time, Permanent

**Working Location
: Hybrid, 2 Days a week in the office, minimum

**Office Location
*: Budapest

What you'll work on

  • Develop and implement sports analytics models and algorithms to support decision-making for teams, coaches, and officials across various sports.
  • Analyse large and complex data sets to identify trends, patterns, and insights that can be translated into actionable strategies for performance improvements.
  • Collaborate with cross-functional teams, including software engineers, product managers, and other data scientists, to develop and deploy data-driven solutions.
  • Create visualisations and reports to communicate insights and findings effectively to technical and non-technical stakeholders.
  • Assist in the development and maintenance of internal databases, ensuring data quality and accuracy.
  • Contribute to the enhancement of Hawk-Eye's proprietary analytics platforms by continuously refining and optimising their performance and user experience.
  • Present findings and insights to clients, partners, and internal teams, ensuring they understand the value and implications of the analytics work being performed.
  • Participate in the development and delivery of training materials and workshops to help clients and internal team members better understand and utilize sports analytics tools and techniques.
  • Actively contribute to the continuous improvement of Hawk-Eye's analytics processes and methodologies, sharing knowledge and expertise with team members to foster a culture of learning and collaboration.

What we're looking for

  • Experience with sports data is ideal but not essential.
  • Familiarity with sports performance and biomechanical analysis would be nice.
  • Knowledge of other scripting languages (e.g. R, JS) and/or general purpose programming languages (e.g. C++, Rust).
  • Experience working with large, complex data sets and managing data pipelines, ensuring data quality and integrity.
  • Familiarity with Agile working.

If you are enthusiastic about sports and data science and are looking for an exciting opportunity to grow your skills and make a meaningful impact in the sports industry, we would love to hear from you!

Tags & focus areas

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Fulltime Data Science Ai