What you move
Collaborate with other teams and stakeholders to understand the data architectural landscape within the company
Advise on best practices for technical decisions within the team that align with the company goals
Communicate and present updates across the company to the team, and convert these updates into actionable goals
Drive and expand data science and analytics engineering initiatives within the Finance area, enhancing our capabilities and impact
Contribute to the community of Data Scientists and Analytics Engineers at Digitec Galaxus by enhancing our models, our codebase and our platform
What you will bring
10+ Years
ML-driven Data Architecture in Finance & Fraud (E-Commerce)
Completed degree (university / university of applied science / higher technical college)
Data Architecture / Data Science
English (Fluent)
Master's degree or higher in a data-focused field (e.g., Data Science, Statistics, Mathematics)
10+ years of experience with creating actionable insight from data, preferably in a financial risk domain, 5+ of which in a senior role
Practical experience in applying machine learning techniques. Particularly in the areas of fraud detection, and credit risk would be a plus
Hands-on experience with real-time and data streaming technologies would be advantageous
Strong communication skills, with the ability to explain concepts in a clear and relatable way to diverse audiences
Ability to coach and lead other Data Scientists and Analytics Engineers in best practices and technologies
Experience in making ETL architectural decisions for ML use cases in larger organisational settings, and up to date with the latest data technologies
Proven track record of projects in Python, and SQL, and able to lead conversations around the optimal use of both
Experience deploying ML models on cloud platforms
Knowledge of data privacy regulations (e.g., GDPR, EU AI act) 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 acting as the interface between data and platform teams
Prioritises empathy and compassion in decision-making
Fluency in English is required
Identifying opportunities for improvement and implementing changes to enhance productivity and effectiveness
Taking calculated risks to create value and drive growth
The benefits we offer
Values, not empty words
Cooperative, innovative, piratesque, responsible, ambitious – these five values are what we practice and preach.
Courageous thinking
We encourage everyone to think on their feet, and love it when they come up with bold or edgy ideas.
Uncomplicated approach
Simplicity is at our core. We avoid the unnecessary and focus on what really matters – from overcoming challenges to celebrating our shared successes.
Flexibility and freedom (Office Jobs)
We offer working-from-home options, up to 8 weeks of workation, and every position is possible with an 80% workload.
Rapid growth
With us, growth is a continuous journey. We also support you with EDU Points (CHF 2,000 for employees in Switzerland, EUR 1,600 for employees in Germany, and EUR 700 for our Serbian employees) for your professional development, so there’s no risk of you getting stuck in a rut.
More Benefits Switzerland
25 days of holiday, exclusive employee conditions in our online shop, mobile, internet and TV plans at company rates and many other benefits.
Application and contact details
Carli Connelly
People Attraction & Active Sourcing Specialist