Job
In this role, you take ownership of the development and deployment of machine learning models for the TV insight market, conducting data analyses and ensuring clear communication of results.
This listing has been machine translated. Show original
Job technologies
Your role in the team
- 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.
- 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.
- 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.
Our expectations of you
Education
- Master’s degree or PhD in a highly quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline.
Qualifications
- 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.
Experience
- 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.
What we offer
- 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.
Topics you will work on
Job locations
About your employer
Elsbethen, Fuschl Am See, Wals-Siezenheim, Wien
Red Bull Media House is an award-winning, globally distributed multi-platform media company on a mission to inspire with ‘beyond the ordinary’ stories - both direct-to-consumer and through partnerships.
- 250+ Employees
- 2007
- German, English
- Established Company
- Onsite, Hybrid, Full Remote
- Media, Publishing
Employer reviews
- Working conditions
- 4.0
- Engineering
- 3.0
- Team culture
- 3.5
- Career growth
- 3.0
More jobs
These jobs might also interest you
Do you think in terms of architectures rather than individual features? Would you like to work with customers as an equal? advise, make technical decisions, and work with modern Customer Engagement, Service, Power Shape platform and AI solutions? Then...
Contribute to the development and ongoing enhancement of our software products. Analysis of requirements, as well as specification, technical design, and implementation of new and existing solutions. Active participation in the Spec-Driven Development...
What it's about We are Markus and Thomas, the founders of replient. Over 900 companies – e-commerce brands, creators, and agencies – have their social media comments answered and moderated by our AI: on Facebook, Instagram, TikTok, YouTube, and...
