Data Scientist (H/F) — Rolex

Full description

Introduction

Within the Production division, you put data science at the service of industrial performance, process control and quality. You intervene on projects with high operational impact, in direct connection with field teams, especially on issues of process, control, including the use of vision.

Present at three production sites, the role requires both a strong capacity for analysis and technical realization, but also a real ability to understand business issues, to create commitment to projects and to make sometimes complex topics accessible.

Responsibilities

Role and Responsibilities

• Collect and analyse business needs to transform them into data science or machine learning.
• Design models to respond to issues such as, detection of anomalies, help with diagnosis, improvement of quality control
• Ensure industrialization, performance monitoring and maintenance of production solutions.
• Provide clear analysis and recommendations for the decision.
• Contribute to the dissemination of good practices, innovation and the development of data culture within the organisation.

Technical expertise

• Excellent mastery of Python and associated ecosystem: PyTorch, NumPy, Pandas, Polars, scikit-learn, MLflow, Seaborn, etc.
• Ability to build rigorous analytical approaches, in a scientific and problem-solving approach.
• Good understanding of the challenges of model industrialization: code quality, testing, versioning, documentation, maintenance.
• Mastering good software development practices: Code quality, Testing, version management with GIT, collaborative work
• Knowledge of Dataiku is an asset

Profile

• Graduated a Master's degree in Computer Science, Data Science, Statistics or equivalent.
• Minimum 5 years experience in data science or machine learning, ideally in an industrial or production environment.
• You know how to make complex technical topics accessible.
• You show listening, curiosity, rigour and autonomy.
• You are proactive, solution-oriented and like to move topics forward in a concrete way.

Conclusion

We offer you a stimulating environment, excellent working conditions, flexible working time solutions and top social benefits.

Thank you for sending a complete application package (CV, cover letter, certificates and diplomas).