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

As a Data Scientist in Redcare Pharmacy’s Data Science team, you will build scalable retail media solutions that create value for customers, advertisers, and the business. You’ll work at the intersection of product, data, and commercial strategy to shape early-stage initiatives and deliver measurable impact on core operations and revenue. You will own end-to-end data science projects, collaborating with Product, Engineering, and domain experts. This role offers hands-on influence over technical direction and meaningful problem solving in a fast-growing environment.

• Welcome days and onboarding
• Urban Sports Club membership
• Work from Home up to 20 days a year in the EU
• Personal development trainings
• Employee discount (10%) on store products
• 20% discount on nu3 products

• Apply ML to develop retail media capabilities that improve customer and advertiser experiences
• Lead end-to-end data science projects from problem definition to production deployment
• Design and evaluate models with trade-offs between performance, scalability, and business impact
• Develop measurement and optimization approaches for attribution, ROAS, and uplift modelling
• Collaborate with Product, Engineering, and domain experts to translate business challenges into data-driven solutions
• Experiment, monitor, and continuously improve models on real-world data
• Contribute to shaping product direction and technical architecture in early-stage initiatives
• Ensure scalable, maintainable solutions with clear business value

• Experience in applied data science and deploying models in production
• Strong Python and SQL skills, statistical modelling, and large-scale data processing
• Hands-on knowledge of marketing/advertising measurement (attribution, ROAS, incrementality, uplift modelling) and experimental design
• Ability to own ambiguous problems and create structure in a evolving product area
• Familiarity with retail media, digital advertising, or related domains
• Comfort working cross-functionally with Product, Engineers, and domain experts

• ownership
• ability to work with ambiguity
• cross-functional collaboration
• Databricks
• Spark
• Azure