Data Scientist, Mollie

• 1-3 years experience in data science and machine learning, including the development of models that successfully went to production
• You are an expert in using applied ML on structured data, in particular regression and classification problems using boosted decision tree (BDT) algorithms
• You have basic experience with Generative AI, both large language models (LLMs) and embedding models
• You approach complex problems in a structured way, always looking for the simplest, pragmatic solutions
• You understand the technical and non-technical constraints of a business problem
• You are detail-oriented but can also quickly shift priorities if required
• You enjoy working collaboratively in a cross-functional & distributed team environment
• You have good presentation skills and can communicate to a wide variety of audiences
• You have a strong foundation in statistics
• You have solid software engineering skills and love coding in Python
• You know your way around a linux shell and are comfortable with Git for version control
• You know the scikit-learn API inside and out
• You are comfortable in an agile Way of Working, with Scrum or similar frameworks

Desirable

• We are looking for a Data Scientist to join our growing Machine Learning Craft at Mollie. Our Craft is set up as a central entity that provides ML and GenAI capabilities across Mollie.
• We primarily develop predictive ML models that provide decision intelligence to our colleagues in various Domains such as Monitoring (risk & fraud), Payments, Financial Services, Merchant Experience & GTM.
• We also maintain a cloud-based ML Platform, which we use for both model development and deployment
• This is a hands-on role, where you will spend most of your time developing in Python together with our team of DSs and MLEs.
• You will also be interfacing directly with subject matter experts and stakeholders, e.g. to evaluate the feasibility of potential ML use cases or to explain how your model works during a Team Review
• This role is based at Mollie’s Amsterdam headquarters. You will be part of a geographically-distributed team (Amsterdam/Lisbon/Milan) that is comfortable collaborating virtually & hybrid
• Develop and maintain ML models for a range of use cases across Mollie. Ensure these models smoothly reach production and bring measurable value to our stakeholders
• Perform efficient exploratory data analysis (EDA) and present key insights to colleagues & stakeholders
• Adopt best practices and standards for the development of robust ML models
• Collaborate closely with MLEs to prepare your code & model for production using our ML Platform
• Contribute regularly to our bi-weekly DS Community of Practice (knowledge sharing sessions)