Data Scientist - Automotive

• Collecting, processing, and analyzing large automotive datasets using Python, SQL, and Snowflake to extract valuable insights for vehicle performance, manufacturing processes, and customer behavior
• Developing and implementing machine learning models to solve automotive industry challenges such as predictive maintenance, quality control, and supply chain optimization
• Creating data visualizations and dashboards to effectively communicate findings to technical and non-technical stakeholders across automotive clients
• Collaborating with cross-functional teams to understand automotive business requirements and translate them into data science solutions
• Maintaining version control of code and models using Git and implementing best practices for reproducible research in automotive data projects

• Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field
• 1-2 years of professional experience in data science or analytics roles, preferably with exposure to automotive industry data
• Strong programming skills in Python with experience in data manipulation libraries (Pandas, NumPy) and machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch)
• Experience with Snowflake or similar cloud data warehousing platforms
• Proficiency with Git for version control and collaborative development
• Knowledge of statistical analysis, machine learning algorithms, and data modeling techniques applicable to automotive use cases
• Fluent in English

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.