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Day 120
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Elsbethen, Salzburg, Austria
Open 4 months, first seen by us 120 days agoAdditional Information Due 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.Read the full posting
Work setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Own development and production deployment of ML models for the TV-Insight market
Build and improve real-time machine learning applications
Run exploratory analyses to understand input data and model performance
Present insights through dashboards and reports for management and stakeholders
Test new methods in small experiments before scaling them into production
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
You conduct thorough exploratory data analyses to evaluate input data and gain a deep understanding of model behaviour and performance.
You communicate your insights in a clear and accessible way through dashboards and reports
proactively implement your own ideas in small-scale experiments to test and validate their expected benefits before scaling them into production.
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.
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.
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.
Open 4 monthsWe first saw this posting 120 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 120
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
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Open jobs by the week we first saw them, last 12 weeks.
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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.
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Model 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.
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.
Due 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.
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.
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Additional Information Due 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.
Elsbethen, Salzburg, Austria
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.