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!