Data Scientist
Apply to Job Here
| Company Name | Volkswagen Group |
| Company Type | Private |
| Job Type | Full-Time |
| Salary Range | Market Competitive |
| Location | France |
| Qualifications | Bachelor’s Degree |
| Experience | 3 Year+ |
Job Overview
We are looking for a talented Data Scientist to join Volkswagen Group in France. This role involves analyzing complex data sets and developing machine learning models to drive business decisions and improve our services.
Company Overview
Volkswagen Group is one of the world’s leading automobile manufacturers and the largest carmaker in Europe. With twelve brands from seven European countries, the Group offers a wide range of vehicles and services. Volkswagen Group is committed to innovation and sustainability, continuously pushing the boundaries of automotive technology.
Quick Details
- Salary Range: Market Competitive
- Job Type: Full-time
- Qualifications: Bachelor’s Degree
- Experience: 3+ Years
Key Responsibilities
- Analyze large datasets to identify trends and patterns.
- Develop and implement machine learning models for various applications.
- Collaborate with cross-functional teams to understand business needs.
- Present findings and recommendations to stakeholders.
- Ensure data quality and integrity.
- Stay up-to-date with the latest advancements in data science.
Requirements
- Bachelor’s degree in Computer Science, Statistics, or a related field.
- 3+ years of experience in data science or machine learning.
- Strong programming skills in Python or R.
- Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
- Excellent communication and presentation skills.
- Ability to work independently and as part of a team.
Benefits
- Competitive salary and benefits package.
- Opportunities for professional development and career growth.
- Work in a dynamic and innovative environment.
- Collaborate with talented and passionate colleagues.
- Contribute to cutting-edge projects in the automotive industry.
- Be part of a global organization with a strong commitment to sustainability.
