Data Scientist

Jobtailor; Benfeld; Sur place; EUR 55 000 - 85 000; Plein temps

Résumé du poste

Jobtailor is seeking a data science professional in France to lead and manage end-to-end data initiatives, from problem framing to deployment.

You will collaborate with cross-functional teams to define use cases, build models, and monitor performance, ensuring measurable business impact and scalable solutions across the organization.

Strong emphasis on operationalization, governance, and documentation, with fluency in French and English to coordinate with global stakeholders.

Qualifications

• Minimum 3 years leading and delivering data science projects.
• Proven ML, statistics, optimization, and model operationalization.
• Proficiency in Python and ML/DL frameworks (scikit-learn, PyTorch or equivalent).
• Fluency in French (C1/C2) and English (minimum B2).

Responsabilités

• Identify and define data science use cases aligned with business needs.
• Perform exploratory analyses to extract value from data.
• Design and develop machine learning models tailored to the problems.
• Operationalize and deploy solutions into production environments.
• Monitor model performance and drive continuous improvement.
• Collaborate closely with technical and business teams to ensure solution impact.

Connaissances

Data science project management

Machine learning

Statistics

Model deployment

Python

ML frameworks (scikit-learn / PyTorch)

French (C1/C2)

English (B2)

Outils

scikit-learn

PyTorch

Description du poste

Responsibilities

• Identify and define data science use cases aligned with business needs.
• Perform exploratory analyses to extract value from data.
• Design and develop machine learning models tailored to the problems.
• Operationalize and deploy solutions into production environments.
• Monitor model performance and drive continuous improvement.
• Collaborate closely with technical and business teams to ensure solution impact.

Requirements

• Minimum 3 years of experience in managing and developing data science projects.
• Proven expertise in machine learning, statistics, optimization, and model operationalization.
• Proficiency in Python and machine learning / deep learning frameworks (scikit-learn, PyTorch or equivalent).
• Fluency in French (C1/C2) and English (minimum B2).