About Redcare Pharmacy:
As Europe's leading online pharmacy, Redcare Pharmacy is driven by our dedicated teams and the latest innovations. We strive to create a pleasant and collaborative working environment in which every employee feels comfortable and is happy to contribute to our vision: "Until every human has their health". If you are looking for a meaningful career that matches your values, join our team and start your #Redcareer today.

About the role

As a Senior Data Scientist, you will play a key role in building production-grade data science and machine learning solutions that directly influence critical business decisions and customer experiences.

You will work on one of our high-impact products, partnering closely with product, engineering, and business teams. Rather than focusing on isolated analyses, you will be involved in products end to end — from problem framing and data quality to modeling, deployment, and ongoing monitoring in production.

This role is designed for a strong generalist who enjoys working across domains, applying solid statistical and machine-learning foundations to real-world problems, and turning ideas into reliable systems.

About your tasks

• Work in a product with colleagues from our Data & AI department and collaborate closely with product managers, engineers, and domain experts to translate business problems into data-driven solutions.
• Design, build, and operate end-to-end data science and machine learning solutions, from initial problem definition to production and iteration.
• Work hands-on with complex, real-world datasets, addressing challenges such as data quality, missing data, bias, and changing data distributions.
• Develop, evaluate, and improve statistical and machine-learning models, making well-reasoned trade-offs between model complexity, performance, scalability, and maintainability.
• Design and analyze A/B tests and experiments, including hypothesis definition, metric selection, statistical evaluation, and interpretation of results.
• Define and implement robust evaluation frameworks, including appropriate baselines, metrics, and validation strategies.
• Support bringing models into production using our cloud-based stack and ensuring they are reliable, monitorable, and maintainable over time.
• Communicate results, assumptions, and uncertainty clearly, enabling informed decision-making rather than black-box outputs.
• Support the team by sharing knowledge, setting best practices, and acting as a technical sparring partner for other data scientists.

About you

• You have several years of hands-on experience as a Data Scientist, working on machine learning or advanced analytical problems in production.
• You have a strong foundation in statistics and machine learning and can apply it pragmatically to real-world problems.
• You understand how to combine offline model evaluation with online experimentation to assess real-world impact.
• You enjoy working close to the business and can explain complex topics clearly to non-technical stakeholders.
• You take ownership, work proactively, and are comfortable navigating ambiguity.
• You are curious and eager to learn, but also careful and conscientious in how you work.
• You value collaboration, give and receive feedback openly, and enjoy helping others grow.

About your benefits:

In order to provide our employees with the best possible support for their individual needs, we offer a wide range of benefits:

• 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.
• Mental Health: Get quick and professional help from psychologists of Likeminded if you feel overwhelmed in private or professional life. Anonymous and free of charge. 
• 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.
• Mobility: We provide our employees with a fully costed Deutschland Ticket which can be used at any time. Click here to learn more.
• Personal development: Grow! We support and encourage your individual development through various in- and external trainings.
• And many more :)