Senior Data Scientist, Retail Media (m/f/d)

About Redcare Pharmacy:

As Europe’s No.1 e-pharmacy Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values join us and start your #Redcareer today.

About the role:

Join our Data Science team and help shape the future of Retail Media at Redcare Pharmacy. You will work at the intersection of product, data, and commercial strategy, developing intelligent solutions that improve the experience for customers and advertisers while supporting a rapidly growing business.

Many of our Retail Media and Data & AI initiatives are still in their early stages, giving you the opportunity to help define solutions, influence technical direction, and create measurable business value from day one. The projects have direct, measurable impact on core business operations, including customer-facing products such as our webshop, with a clear influence on revenue and organisational efficiency.

This role is designed for an experienced data scientist with hands-on expertise in Retail Media or closely related areas (e.g. digital advertising, personalization, recommendations, campaign optimization, marketing measurement, or marketplace products), and a track record of turning complex use cases into reliable, scalable systems.

Job Description

About your tasks:

• Contribute to the development of our retail media product by applying data science and machine learning to build relevant, effective, and scalable solutions that create value for customers, advertisers, and the business.
• Work on end-to-end Data Science and Machine Learning initiatives , partnering closely with Product Managers, Engineers, and domain experts to translate business challenges into data-driven solutions.
• Own projects across the full lifecycle , from problem definition and experimentation through to production deployment, monitoring, and continuous improvement using complex real-world datasets.
• Design, evaluate, and improve machine learning models and experiments , making thoughtful trade-offs between performance, scalability, maintainability, and business impact.
• Design and evolve retail media measurement and optimization approaches , including attribution, ROAS measurement, incrementality testing, causal inference, uplift modelling, and experiment design, helping advertisers and the business understand the true incremental impact of advertising.

About the tech stack:

Databricks, Spark, Azure, Python, SQL, Machine Learning, MLOps, Experimentation & Analytics Frameworks, Git, CI/CD.

Qualifications

About you:

• You bring solid experience in applied data science and machine learning , including building and deploying models in production environments.
• You have a strong foundation in Python, SQL, statistical modelling, and large-scale data processing .
• You have strong experience in marketing or advertising measurement , with hands-on knowledge of areas such as attribution and ROAS, causal inference, incrementality testing, uplift modelling, matched-market approaches, and experimental design, and understand the assumptions and trade-offs behind different measurement methods.
• You enjoy taking ownership of ambiguous problems and creating structure , especially in a product area that is still being shaped.

Additional Information

About your benefits:

In order to provide you with the best possible support for your individual needs - whether it‘s living a healthy life, having enough time for your family, or developing your skills - we offer a wide range of different, site-specific benefits:

• Welcome days: We want you to feel at home with us from the very first day. Therefore, we welcome you with our comprehensive onboarding program.
• Sports: Stay healthy. Profit from a membership (M) package at Urban Sports Club, so that you can take advantage of a huge variety of sport offers.
• Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU.
• Personal development: Grow! We support and encourage your individual development through various in- and external trainings.
• Employee discount: You get a 10 % employee discount on all over the counter, beauty and personal care products in our online store & 20 % discount on nu3.