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Sports Data & AI Scientist

Thalgau, Salzburg, Austria

Pay
Pay amount needs review — pay source
Additional Information 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.
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What you’ll bring

All qualifications

Core experience

  • 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.
  • Experience with athlete, training, competition, physiological and/or wearable data.
  • Ability to turn complex data into actionable insights.
  • Strong communication and stakeholder management skills
Qualification wording
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.
Experience with athlete, training, competition, physiological and/or wearable data.
Ability to turn complex data into actionable insights.
Strong communication and stakeholder management skills
Education & alternatives
Qualifications 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.

Tools in this posting

  • Python
  • SQL
Source — Tool mentions in context
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.

Job description

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Job Description

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.

Qualifications

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

Additional Information

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.

Company 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.

 

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

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Source & posting history

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Pay
Additional Information 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.
Location & working pattern

Thalgau, Salzburg, Austria

Working pattern and location restrictions need checking in the full posting.

Work authorization

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Status in our records
Active
First seen by us
Oct 7, 2026
Recorded sightings
83
Last seen by us
Oct 13, 2026
Employer says posted
Oct 1, 2026

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