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Pfingstweidstrasse 60b
CH-8005 Zürich
Data Scientist (f/m/d)
Financial Risk
- Zurich
- 80% - 100%
- Product Development
- English
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.
As a Data Scientist, you will work closely with product owners, software developers, and business stakeholders from finance, and fraud. Leveraging your expertise in outlier detection, and NLP, you will turn customer feedback into actionable insights, enhancing interactions within the Digitec Galaxus online shop. Additionally, you will apply traditional machine learning techniques to enable automated decision-making, ensuring a seamless and efficient customer experience.
Your responsibilities
- Collaborate with multiple stakeholders to identify machine learning use cases, assessing their feasibility and potential impact.
- Conceptualize and develop machine learning models, overseeing all stages from initial prototype to deployment and continuous assessment.
- Communicate and present the results of pilots and projects effectively to both technical and non-technical stakeholders.
- Drive and expand data science initiatives within the Finance area, enhancing our capabilities and impact.
- Contribute to the community of machine learning engineers at Digitec Galaxus by enhancing our models, our codebase and our platform.
Your skills
- 3-5 years of experience as a Data Scientist, with a higher education degree in a data-focused field (e.g., Data Science, Statistics, Mathematics).
- Practical experience in applying machine learning techniques. Particularly in the areas of fraud detection, outlier detection, and NLP.
- Strong communication skills, with the ability to explain concepts in a clear and relatable way to diverse audiences.
- Experience in evaluating model performance using metrics that align with the use cases and business objectives.
- Solid programming skills in Python and experience deploying ML models on cloud platforms.
- Awareness of data privacy regulations (e.g., GDPR) and a commitment to maintaining high standards of data security.
- Experience with agile methodologies, effectively working within cross-functional teams and collaborating closely with product owners and business stakeholders.
- Ability to identify opportunities for improvement and implementing changes to enhance productivity and effectiveness.
- Prioritizes empathy and compassion in decision-making.
- English fluency is required, and German skills (B1 or higher) are a plus.
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 2000 EDU points.
Other Benefits: Enjoy discounted employee conditions in our shops and much more.
At Galaxus your journey is about more than the milestones you'll reach; it's about how you'll grow, the challenges you'll navigate, and the discoveries you'll make.
Grow with us. Be brave, stay true.
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.
Working Language
EnglishWorkload
80% - 100%Location
Digitec Galaxus AGPfingstweidstrasse 60b
CH-8005 Zürich
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Behind the scenes
Become part of our company.
And stay true to yourself.
We believe that shared values are key for long-lasting success. This is why a strong company culture is more important to us than strict rules and guidelines.