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Sports Data & AI Scientist

Red Bull Thalgau, Austria
Pełny etat Praca stacjonarna

Data publikacji: 02.10.2026

The APC is Red Bull’s athlete high-performance accelerator enabling and empowering world-class Red Bull athletes to unveil their full potential, achieve sustained excellence and become truly outstanding performers within a highly innovative environment and a powerful global network of outstanding specialists.

As a Sports Data & AI Scientist, you will use data, analytics and AI to support decision-making across our global sports investments, including football and cycling. You will benchmark performance across the network, conduct deep-dive analyses and develop predictive models, data products and conversational AI that deliver actionable insights to coaches, performance staff and leadership.

Global Sports Intelligence

Monitor and benchmark athlete and team performance across our sports investments using training, competition and physiological data.

Identify performance trends, outliers and best practices across the network, with targeted deep dives into individual clubs, teams and athletes.

Sports Analytics & AI

Analyze performance, training and readiness data and develop predictive models to support decisions around readiness, training response and performance development.

Translate complex analysis into actionable insights for coaches, performance staff and leadership.

Data Products & Conversational AI

Build dashboards and automated analytics for continuous performance monitoring and network benchmarking.

Develop conversational AI that enables sports practitioners to query sports data, investigate trends and access insights through natural language.

Cross-Sport Innovation

Identify and transfer performance insights, methods and best practices across sports.

Requirements

Bachelor's, Master's or PhD degree in Data Science, Statistics, Sports Science, Computer Science, Engineering, or a related quantitative field.; Strong expertise in data science, statistics, machine learning, Python and SQL.; Experience with performance analysis, predictive modelling, data products and AI applications.; Strong domain knowledge in sports.; Experience with athlete, training, competition, physiological and/or wearable data.; Ability to turn complex data into actionable insights.; Strong communication and stakeholder management skills; Fluent in English, German is a plus
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