Data Scientist (m/f/d)

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Data Scientist (m/f/d)

Fuschl am See, Austria
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This is an exciting opportunity to join the Global Analytics Lab at Red Bull's headquarter in Fuschl, Austria. You'll become part of a broader specialist data department whose goal is to create business value through actionable application of data. Supporting data science projects at Red Bull, you'll be expected to implement statistical and machine learning models, as well as assist in the quality assurance process. Your goal is to apply rigorous but pragmatic analytical frameworks, assisting in the development of business actions with impact.

We're looking for a Data Scientist (m/f/d) who can join our team as soon as possible.


Areas that play to your strengths

All the responsibilities we'll trust you with:


In your role you'll support and take part ownership of analytics projects, focusing specifically on model application and testing. You'll work directly with other data scientists in an executive capacity for their advanced analytics needs, while maintaining a pragmatic approach in everything you do. Your role will also require you to carry out thorough exploratory analysis to evaluate a data set's "fitness-for-purpose" as well as develop best practice modelling solutions ensuring the highest validation standards. Your role will also require conscientious handling of data and an excellent ability to absorb new skills and techniques quickly. Furthermore, as a trainer of our internal analytics curriculum, you'll help advancing the business' understanding of key analytical and visualization concepts.


You'll be part of the Global Analytics Lab which is responsible for developing and managing analytics and data science for various departments. You'll work together with and support the data science team to implement projects in an efficient manner and will report to one of the Senior Data Scientists. It's expected that you're responsible for quality assurance of projects from a methodological and pragmatic point of view.


Your areas of knowledge and expertise

That matter most for this role:

  • First relevant quantitative analytics and statistics experience (e.g., from part time jobs or internships).
  • Working experience in application of statistical modelling (e.g., R) with openness to learn others (e.g., Python).
  • Experience with statistical techniques, including testing, regression, and classification.
  • Applied knowledge of machine learning and deep learning algorithms.
  • Ability to give understandable presentations on complex topics.
  • Strong communication and interpersonal skills.
  • Strong willingness to learn.
  • Master's degree in data science, mathematics, statistics, theoretical physics or related field.
  • Fluent in German and English


Got what it takes?

In your application we want to see your personal style - what makes you tick and why you think your next opportunity is here with us.

Apply now
Due to legal reasons we are obliged to disclose the minimum salary according to the collective agreement for this position, which is EUR 1.866 gross per month. However, our attractive compensation package is based on market-oriented salaries and is therefore significantly above the stated minimum salary.

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