Data Scientist

Join our Data Science team and help shape the product recommendation experience at Redcare Pharmacy. You will work at the intersection of product, data, and technology, helping customers discover relevant products across our webshop and app.

About the tech stack:

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

About your tasks:

• Improve product recommendations in our webshop and app, analysing customer behaviour and product data to make recommendation widgets more relevant and useful.
• Develop and refine recommendation models, engineering relevant features and applying state-of-the-art machine learning approaches.
• Work on end-to-end Data Science initiatives, partnering closely with Product Managers, ML Engineers, Data Engineers, ML Ops, and domain experts to translate product questions into hypotheses and practical improvements.
• Design, analyse, and interpret A/B tests to measure the impact of recommendation changes. Define success metrics and guardrails, assess statistical uncertainty, and turn results into clear recommendations for the product team.
• Contribute across the full project lifecycle, from data exploration and experimentation through to implementation, productionizing, monitoring, and continuous improvement, with support from your colleagues.

• You have practical experience developing machine learning models, including data preparation, feature engineering, modelling, and evaluation.
• You have strong Python and SQL skills and write clear, structured code that others can work with. You are familiar with Git and practices such as testing and reproducible development.
• You understand how to develop models for production, including reproducible training, reliable data pipelines, and the trade-offs between model quality, scalability, and maintainability.
• You have practical expertise in A/B testing and experimental design, including metric selection, statistical power, and interpreting results.
• You have a solid understanding of recommendation systems and relevant machine learning approaches, such as collaborative filtering, ranking models, or embeddings.
• You enjoy working iteratively in a cross-functional product team, translating business goals into workable solutions, delivering improvements in manageable steps, and refining models based on experiment results and production performance.

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:

• 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.
• Vacation: 30 days paid vacation per annum (plus another day on Rosenmontag) and the option to take unpaid vacation of up to 10 days (after one year working with us).
• 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.
• Redcare events: We promote teambuilding through creative team events, and celebrate our successes together at regularly scheduled parties.