Data Scientist – TV-Insight

Are you passionate about creating innovative data-driven products that reshape industries?
TV-Insight is an exciting digital spin-off within Red Bull, located in Elsbethen (Austria), dedicated to revolutionizing the TV measurement and advertisement industry. As a data scientist, you'll be at the forefront of developing and improving the analytical foundation of our groundbreaking product, which handles millions of classification tasks every second. Working alongside a team of talented data scientists, engineers, analysts, and business stakeholders, you'll play a key role in defining the success of a state-of-the-art analytics product. If you’re eager to shape the future of TV measurement and advertisement with cutting-edge data science, this is the perfect opportunity for you!

All the responsibilities we'll trust you with:

Responsibilities For Model Development And Deployment
Take ownership of the model development and deployment processes for a specific TV-Insight market. You will be responsible for creating, optimizing, and deploying machine learning models that provide real-time insights. Your work will involve collaborating closely with a team of data scientists, engineers, and data analysts to ensure seamless integration of model components with real-time projection processing.

Real-Time Machine Learning Application Development
You will be involved in the development and enhancement of machine learning applications that operate in real-time. This includes building and improving model components that feed into the real-time projection processing system. Your work will have a direct business impact from the very first day, as you apply your expertise to deliver innovative and effective machine learning solutions.

Exploratory Analysis and Model Research
You will conduct comprehensive exploratory analysis to assess input data and ensure complete model understanding. This involves evaluating data sources and refining models to achieve the best possible outcomes. Through research tasks and ongoing model development, you will maintain a high standard for statistical models and coding practices, sharing your findings in clear and actionable reports and dashboards for management.

Commitment to Continuous Innovation
We emphasize continuous learning and innovation in our approach. You will dedicate time to keeping up with the latest technological and industry advancements, ensuring that you and your team stay ahead of the curve. Evaluating new trends and developments, you will test and implement small-scale projects to validate their potential, contributing to the team's ability to innovate effectively and improve overall performance.

Your areas of knowledge and expertise that matter most for this role:

• Master’s degree or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science) and relevant experience in quantitative analytics or statistics (e.g., from internships or part-time roles).
• Advanced skills in statistical modelling (R, Python) and experience with database languages (e.g., SQL).
• Strong knowledge of statistical techniques such as regression, classification, and hypothesis testing.
• Ability to create clear, insightful visualizations (e.g., ggplot, R Shiny, Data Studio) and present complex topics in an understandable way.
• Strong communication and interpersonal skills, with a passion for continuous learning and personal development.

Due to legal reasons, we are obliged to disclose the minimum salary according to the collective agreement for this position, which is € 2.471 gross per month. 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.