Data Scientist

**Goodyear. More Driven.**

**The opportunity**

Are you interested in an exciting opportunity to drive success with data? The Data Science & Analytics group at the Goodyear Innovation Center in Luxembourg does just that. Since its inception, the group’s project portfolio continues to grow and includes areas of tire intelligence, tire manufacturing, operations, and technology. We’re looking for Data Scientist to join our team in Luxembourg. On this position you will:

- Develop AI solutions from inception to deployment which support various processes of the Data Driven Engineering organization.
- Independently perform Data Science tasks to support large-scale Data Science initiatives in our global team. Tasks include data exploration and cleaning, feature generation, modeling, data visualization.
- Develop an understanding of the business, technology, manufacturing processes, and Data Science-related topics such as data systems (data sources, data gathering, data storage) and business analytics (business reporting procedures and metrics).
- Work closely with other data scientists, data engineers, and cloud architects in scaling prototype data models into production data solutions
- Have an impact by helping us drive “best data science practices” within the global organization

**To join our team, you will need**:
**Education**:

- M.Sc. in Data Science, Mathematics, Statistics, or similar technical field
- Ph.D. is an asset.

**Languages**:

- You are fluent in English. Knowledge of French or German is an asset.

**Experience**:

- At least one experience in the industrial sector (internship included)
- 1-2 years of experience in machine learning and advanced data analysis on large data sets is an asset

**Skills & Qualifications**:

- Applied Mathematics (e.g. linear algebra, graph theory, optimization, stochastic and dynamic programming)
- Advanced Statistics (e.g. Bayesian inference, uncertainty quantification)
- Computer Science (e.g. machine learning, data architecture, data management, programming, “big data” technologies)
- Demonstrated experience with:

- Python programming language (it is a must)
- Software development tools and processes (Docker, Kubernetes, Jenkins, Git)
- Cloud platform technology (AWS or MS Azure)
- Must be able to function independently as well as work in a team-oriented environment.