Data Scientist - R, Statistics & Modelling - Hybrid - Frankfurt

Help shape the methods behind Germany's media industry.

We're supporting a specialist data and software company that's recognised as one of the technology leaders in quantitative media research. Their products and data solutions are used to transform complex survey and usage data into reliable insights for major national and international organisations.

If you enjoy building statistical models in R and working with large datasets, this is an opportunity to make a genuine impact within a collaborative, highly specialised team.

• Develop statistical methods and models that influence real-world decisions
• Join an established, financially stable technology company with over 30 years of industry expertise
• Modern hybrid working with up to two days working from home
• Small, collaborative team with genuine influence over methods and models
• Develop your expertise in R, statistics and machine learning within a highly specialised environment

You'll benefit from flexible working hours, hybrid working, a modern office in central Frankfurt, subsidised public transport, comprehensive onboarding and excellent opportunities for both technical and personal development within a friendly, close-knit team.

What you'll do

• Develop, validate and improve statistical models and methods
• Build weighting, projection and reach models in R
• Combine and fuse multiple data sources into reliable datasets
• Apply machine learning where it improves results
• Turn models into automated, reproducible workflows
• Work closely with specialists across methodology, software development and project management

What you should bring

• Commercial experience building statistical models in R
• Strong grounding in statistics, such as sampling, weighting and regression
• Experience analysing and validating large datasets
• Very good German (C1) and good English
• Experience in quantitative market, media or social research would be advantageous

If you're looking for a position where statistics and data genuinely matter, we'd love to hear from you.