Data Architect

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

• 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) Mandatory

• Master's degree or higher in a data-focused field (e.g., Data Science, Statistics, Mathematics) Mandatory

• 10+ years of experience with creating actionable insight from data, preferably in a financial risk domain, 5+ of which in a senior role Mandatory

• Practical experience in applying machine learning techniques. Particularly in the areas of fraud detection, and credit risk would be a plus Mandatory

• Hands-on experience with real-time and data streaming technologies would be advantageous Mandatory

• Strong communication skills, with the ability to explain concepts in a clear and relatable way to diverse audiences Mandatory

• Ability to coach and lead other Data Scientists and Analytics Engineers in best practices and technologies Mandatory

• Experience in making ETL architectural decisions for ML use cases in larger organisational settings, and up to date with the latest data technologies Mandatory

• Proven track record of projects in Python, and SQL, and able to lead conversations around the optimal use of both Mandatory

• Experience deploying ML models on cloud platforms Mandatory

• Knowledge of data privacy regulations (e.g., GDPR, EU AI act) and a commitment to maintaining high standards of data security Mandatory

• Experience with agile methodologies, effectively working within cross-functional teams and collaborating closely with product owners and business stakeholders Mandatory

• Ability to identify opportunities for improvement and acting as the interface between data and platform teams Mandatory

• Prioritises empathy and compassion in decision-making Mandatory

• Fluency in English is required Mandatory

• Identifying opportunities for improvement and implementing changes to enhance productivity and effectiveness Mandatory

• Taking calculated risks to create value and drive growth