Galaxus culture flows from our values: cooperative, innovative, piratesque, responsible, and ambitious. We give feedback straight-up granting everyone the power to own their actions and grow through epic wins and rough patches. “Grow with us. Be brave, stay true" is the mantra that inspires transparency, boosting a culture of openness and knowledge-sharing.
As the top Swiss e-commerce platform, with a crew of over 3,000 across Switzerland, Germany, and Serbia, Galaxus is on the move to new markets. We're on the lookout for characters who know that it’s diversity that gets us to grow and succeed. Being bold and out-of-the-box isn't just encouraged — it's basically our brand.
In the Data Team Skynet, we develop machine learning models that make millions of decisions daily, automating important process steps within the company. We manage the entire development phase of a model, from initial prototyping to deployment in live systems. We are currently seeking motivated data scientists to enhance our team and lead exciting projects focused on Purchasing.
Your responsibilities
* Use your advanced machine learning and algorithm skills to help us make smarter decisions about what products to restock, which suppliers to use, how much to order, and where to send it all.
* Work with techniques like time-series forecasting (e.g., predicting product demand), LLMs (e.g., spotting products with unique seasonal trends), and reinforcement learning (e.g., fine-tuning how we buy and stock things).
* Take ideas from the brainstorming stage all the way to building prototypes and integrating them into our day-to-day operations.
* Tap into our GCP-based tools and infrastructure, including Big Query, Python, Airflow, Kubernetes, and Kafka, to bring your solutions to life.
* Focus on creating practical, scalable solutions that make our purchasing and inventory systems run smoother and more efficiently.
* Collaborate with other teams, learn from their feedback, and keep improving the way we do things.
* Experiment with new ML methods to keep our systems cutting-edge and adaptable.
* Aim for results that directly make a difference, whether it’s saving costs, improving operations, or making customers happier.
Your skills
* University degree (ETH/UNI/FH) in a relevant field with coursework in software engineering, data science, machine learning, and statistics provides a strong foundation for this role.
* Advanced coding skills and the ability to develop production-ready software solutions are essential.
* Experience implementing machine learning models in Python using libraries like scikit-learn, darts, tensorflow, pytorch, pandas, polars, or rlgym is highly valued.
* Familiarity with supply chain management, retail, or cloud services (especially GCP) is a plus.
* You’re skilled at gathering requirements from both management and end-users, breaking down complex problems, and finding the most suitable solution—whether it’s an LLM, LightGBM model, or a simple heuristic.
* A sense of humor, a committed attitude, and the ability to stay organized in a fast-paced environment go a long way.
* German skills (B1 or higher) are helpful, and strong English skills are required.
Why start with us?
* Culture is Everything: Our values – cooperative, innovative, piratesque, responsible, and ambitious – form the foundation of our journey. Culture isn't just part of what we do; it's the essence of who we are.
* Courage and Unconventionality: Your courage and innovative spirit are valued here. We challenge conventional wisdom, embracing those who dare to think differently.
* Uncomplicated: Simplicity is at our core. We avoid the unnecessary, focusing on what truly matters – your development, our collective achievements, and tackling challenges with adaptability and resilience.
* Flexibility and Freedom: We believe that innovation and creativity thrive in an environment where flexibility and freedom are prioritized. We offer home office options, up to 8 weeks of workation, and every position is available from 80-100%.
* Fast Lane Growth: With us, growth is a continuous journey. You'll have opportunities to expand your horizons, both personally and professionally. To support this, we offer all employees up to 2'000 EDU-Points.
* Other Benefits: Enjoy discounted employee conditions in our shops and much more.
We team up for Success
At Galaxus, we grow talent by teaming up with people from diverse backgrounds to build the best team out there. We stand for equal treatment and opportunities for everyone, no matter your ethnic or national origin, religion, sexual orientation, marital status, gender, gender identity, age, disability, or any other status. Diversity is our fuel for innovation and a culture of openness and collaboration. We welcome applicants from all backgrounds, experiences, and perspectives.
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