Senior Data Scientist

Redcare Pharmacy
Sevenum, Netherlands
13 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Köln, Germany

Tech stack

A/B testing
Artificial Intelligence
Machine Learning

Job description

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., In order to provide our employees with the best possible support for their individual needs, we offer a wide range of 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.
  • Redcare events: We promote teambuilding through creative team events, and celebrate our successes together at regularly scheduled parties.
  • Kindergarten Grant: We offer our employees who pay for childcare in kindergarten 100,00 € (total) per month.
  • Mental health: Get quick professional help from psychologists from nilo if you feel overwhelmed in your personal or professional life. Anonymously and free of charge.
  • Personal Development: We are all constantly learning. That's why we support and foster your career development through internal & external training and help you grow.
  • Mobility: Your commute matters to us. We provide our employees with a fully costed Deutschland Ticket which can be used at any time.
  • Sports & Health: Your well-being is our top priority. Therefore, we offer you a range of opportunities to improve your health. Profit from a membership (M) package at Urban Sports Club, providing a variety of sports offers tailored to your interests.

Requirements

Do you have experience in Machine learning?, * 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 the company

Hi, we’re Redcare Pharmacy. Before anything else, we put the health of our customers and employees first. 

We believe that we can only move forward if we create a healthy working environment that promotes personal and shared growth. Because without one, we simply wouldn’t be able to thrive. 

With passion, pioneering spirit and the most innovative tools, our international teams work continuously on our brands, products and services. We’re Europe’s No.1 one-stop pharmacy – and we want to keep it that way. Why not join us?

Start your #Redcareer at Europe's largest online pharmacy now.

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