Data Scientist I

1 maand geleden

Amsterdam, Nederland Mollie Voltijd

**Your Opportunity**:
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 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.**

**What you’ll be doing**:

- 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).

**What you'll bring**:

- ** 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.

**Nice to have**:

- Experience with Google Cloud Platform Vertex AI or similar (e.g. SageMaker).
- Experience in the financial services industry (banking or fintech).
- Familiarity with DevOps & MLOps principles.
- M.Sc. or Ph.D. in Machine Learning, Computer Science, Physics, or similar.

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