Are you willing to help us build/develop one of the most ambitious digital and analytical products for the TV industry? Then this role is made for you!
TV-Insight is a digital spin-off within Red Bull working on a novel data analytics product. Located in Elsbethen (Austria) TV-Insight works on revolutionizing the TV measurement- and advertisement industry. As a data scientist, you will 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.
Areas that play to your strengths
All the responsibilities we'll trust you with:
In this role, 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 will collaborate 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 1.
On the other hand, 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’ll uphold our commitment to best practice in modelling solutions and code production. You’ll also share your insights in an accessible way in dashboards and reports with management.
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. Therefore, you’ll 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:
- Master’s degree or PhD in highly quantitative field such as Statistics, Mathematics, Computer Science, etc.
- Relevant 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.
- Strong willingness to learn.
- Travel 10-20%