Sports Data & AI Scientist

Red Bull; Thalgau; On-site; EUR 52,000 - 76,000; Full time

Job summary

Red Bull is seeking a Sports Data & AI Scientist to enable and empower world-class athletes through data, analytics and AI. The role spans performance benchmarking, predictive modeling and development of data products for coaches, staff and leadership.

You will translate complex analyses into actionable insights, build dashboards and conversational AI, and collaborate across sports like football and cycling, within a high-performance environment.

Qualifications

• Bachelor’s/Master’s/PhD in a quantitative field.
• Strong foundation in data science, statistics and ML.
• Experience with performance analysis and AI applications.

Responsibilities

• Global Sports Intelligence: benchmark athlete and team performance across our sports investments.
• Identify trends, outliers and best practices across the network.
• Deep dives into clubs, teams and athletes.

Skills

Data science

Statistics

Machine learning

Python

SQL

Performance analysis

Predictive modelling

Data products

AI applications

Sports domain knowledge

Communication

Stakeholder management

English fluency

Education

Bachelor's in CS

Master's in Data Science

PhD in related field

Tools

Python

SQL

Job description

**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.

**All the responsibilities we'll trust you with:**Global Sports IntelligenceMonitor 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 & AIAnalyze 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 AIBuild dashboards and automated analytics for continuous performance monitoring and network benchmarking.

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

Cross-Sport InnovationIdentify and transfer performance insights, methods and best practices across sports.

Your areas of knowledge and expertise that matter most for this role:* 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

Due to legal reasons we are obliged to disclose the minimum salary according to the collective agreement for this position (EUR 2.968). However, our attractive compensation package is based on market-oriented salaries and is therefore significantly above the stated minimum salary.

As an employer, we value diversity and support people in developing their potential and strengths, realizing their ideas and seizing opportunities. We believe passionately that employing a diverse workforce is central to our success. We welcome applications from all members of society irrespective of age, skin colour, religion, gender, sexual orientation or origin.