Data Scientist

**The Role**:
A Data scientist to work on several models in production around accounting and bank statement data processing, including document classification, third-party recognition, expense classification, VAT type prediction, and more.

**Responsibilities**:

- Participating with the rest of the team in defining the product roadmap.
- Developing existing Deep Learning and Machine Learning models (image processing, NLP, other...).
- Putting the models into production.
- Following up and analyze on the results of models on production data.
- Conducting regular monitoring to propose new avenues for improvement and test new ideas.

**Requirements**:

- Computer Science or Computer Engineering degree.
- Around 3 years of experience as a Data Scientist.
- Comfortable working in the following technical environments: Azure ML, AKS (Azure Kubernetes), Python, Scikit-learn, Jupyter.
- Experience in various models: random forest, TF-ID, etc. and various data sources: MongoDB, SQL, Azure blob storage, and more.
- Good written, verbal, analytical, and interpersonal skills.
- Self-motivated, autonomous and thrives with mínimal supervision.
- Excellent verbal and written English communication skills, French is a plus.