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 senior data scientist, you’ll be spearheading an initiative to drive market implementation of our unique TV product. You’re responsible for the analytical foundation of our new product that can handle multiple millions of classification tasks every second. In a team with other data scientists, you’ll be responsible for the success of a state-of-the-art analytics product collaborating with data engineers, analysts, and business stakeholders.

Areas that play to your strengths

All the responsibilities we'll trust you with:

Expand all

  • Real Time Machine Learning Applications

    You’ll have the responsibility for the model that is feeding the real time projection processing. To achieve this task, you and your team are collaborating with a highly specialized team of engineers and data analysts. After exciting industry professionals with your ideas, you will collaborate with your colleagues to ensure their best realization.

  • Prototype new ideas and lead them to production

    You’ll prototype models and customize our product to the conditions and requirements of new markets. After a successful proof of concept, you’ll help moving your approach through the product development pipeline to production.

  • 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.

  • 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.


Your areas of knowledge and expertise

that matter most for this role:

  • Min. 3 years of experience in predictive modeling, applying various ML techniques to solve complex problems and a deep understanding of the statistics underlying
  • Advanced experience in solving classification problems and application of feature engineering
  • Experience in handling big data projects (e.g., Google Cloud Platform)
  • Proficient in application of statistical modelling in e.g., R or Python
  • Advanced experience with data base languages (e.g., SQL)
  • Excellent 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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