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 will be at the forefront of creating and improving the analytical foundation of our novel product, capable of handling multiple millions of classification tasks every second. Working alongside a team of talented data scientists, data engineers, analysts, and business stakeholders, you will play a key role in defining the success of a state-of-the-art analytics product.
Job DescriptionModel Ownership & Production Deployment
You take ownership of the development and deployment of machine learning models for a dedicated TV-Insight market. This includes building and improving real-time machine learning applications as well as developing model components that feed into real-time projection processing. Working closely with a highly specialized team of engineers and data analysts, you ensure a strong understanding of the technical implementation while setting the highest standards for statistical modelling, creating direct business impact from day one.
Exploratory Analysis, Model Understanding & Communication
You conduct thorough exploratory data analyses to evaluate input data and gain a deep understanding of model behaviour and performance. In both research tasks and day-to-day work, you uphold best practices in modelling approaches and production-quality code. You communicate your insights in a clear and accessible way through dashboards and reports, enabling data-driven decision-making for management and key stakeholders.
Continuous Innovation & Technical Excellence
You continuously stay up to date with technological and industry developments to expand your skill set and strengthen your ability to innovate. You critically assess the potential of new methods, tools, and trends, and proactively implement your own ideas in small-scale experiments to test and validate their expected benefits before scaling them into production.
Qualifications
Master’s degree or PhD in a highly quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline
3+ years of professional experience in quantitative analytics, data science, or applied statistics.
Strong hands-on experience in statistical modelling using R or Python, with solid experience working with databases and query languages such as SQL.
Proven expertise in applying core statistical methods, including regression, classification, and hypothesis testing, to real-world business problems.
Ability to translate complex analytical results into clear, compelling visualizations and dashboards using tools such as ggplot, R Shiny, or Data Studio.
Strong presentation and communication skills, with the ability to explain complex technical concepts to non-technical audiences and collaborate effectively in cross-functional teams.
Additional InformationDue to legal reasons, we are obliged to disclose the minimum salary according to the collective agreement for this position, which is € 2.362 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.
Skills Required
- Master's degree or PhD in Statistics, Mathematics, Computer Science, or related quantitative field
- 3+ years professional experience in quantitative analytics, data science, or applied statistics
- Hands-on experience in statistical modelling using R or Python
- Experience working with databases and query languages such as SQL
- Proven expertise in regression, classification, and hypothesis testing applied to business problems
- Ability to create clear visualizations and dashboards using ggplot, R Shiny, or Data Studio
- Experience developing and deploying production-quality real-time machine learning applications
- Strong presentation and communication skills for non-technical audiences
Red Bull Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Red Bull and has not been reviewed or approved by Red Bull.
-
Healthcare Strength — Health coverage is characterized by comprehensive medical, dental, and vision plans alongside robust mental health access, including up to 25 free coaching/therapy sessions and digital physical therapy. Wellness initiatives such as gym subsidies, on-site fitness classes, and Fit For Flight further enhance overall healthcare value.
-
Parental & Family Support — Family supports include paid family leave, incentives for healthy pregnancies, coverage for doulas/midwives, free breast milk shipment, and caregiving resources like subsidized back-up care. Adoption and surrogacy reimbursement up to $25,000 and parenting support tools broaden accessibility across family stages.
-
Leave & Time Off Breadth — Paid time off is positioned as generous, typically ranging from 20–30 days annually, with Red Bull North America noted at 36 days. A paid holiday schedule complements vacation and leave options.
Red Bull Insights
What We Do
Red Bull Gives Wiiings to People and Ideas. This has driven us – and all we do – since 1987. Today, Red Bull operates in over 170 countries, selling more than 12 billion cans annually and growing! Above all, our people remain the essential ingredient in bringing the Red Bull brand to life. Check out our open roles to become part of the world of Red Bull. Most jobs take energy, ours give it. Check out our open roles to become part of the world of Red Bull – jobs.redbull.com
