Red Bull

(Junior) Data Scientist

Job description

You want to be part of a digital spin-off within Red Bull working on a novel data analytics product? TV Insight, located in Elsbethen (Austria) works on revolutionizing the TV measurement and advertisement industry.

As a data scientist, you’ll be creating and improving the analytical foundation of our new product that is able to handle multiple millions of classification tasks every second. In a team of data scientists, you will define the success of a state-of-the-art analytics product collaborating with data engineers, analysts, and business stakeholders.
RESPONSIBILITIES

Areas that play to your strengths

All the responsibilities we'll trust you with:

Expand all

  • Real Time Machine Learning Applications

    You’ll create and improve machine learning model components feeding the real time projection processing. To achieve this task, you and your team of data scientists is collaborating with a highly specialized team of engineers and data analysts. Understanding the technical implementation and setting the highest standards in your statistical models, you’ll create a direct business impact from day one.

  • Exploratory Analysis and Research

    You’ll carry out thorough exploratory analysis to evaluate input data and achieve full model understanding. In research tasks as well as in your other work, you uphold our commitment to best practice in modelling solutions and code production. You’ll share your insights in an accessible way in dashboards and reports with management.

  • Continuous Innovation

    We continuously dedicate time to stay on top of technological and industry developments to improve our skillset and increase our ability to innovate on the job. You evaluate the potential of new industry developments and implement your own ideas on small-scale to test and validate their expected benefits.

EXPERIENCE

Your areas of knowledge and expertise

that matter most for this role:

  • 1-2 years’ experience in quantitative analytics and/or statistics (e.g., from part-time jobs or internships)
  • Advanced experience in application of statistical modelling (e.g., R, or Python with willingness to learn other)
  • Experience with data base languages (e.g., SQL)
  • Experience with statistical techniques, including regression, classification, and testing
  • Ability to translate your findings into clear and concise visualizations (e.g., ggplot, R Shiny, or Data Studio)
  • Ability to give understandable presentations on complex topics
  • Strong communication and interpersonal skills
  • Master’s degree or PhD in highly quantitative field such as Statistics, Mathematics, Computer Science, etc.
  • Strong English skills, German beneficial
  • Travel 10%
  • Permanent

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