YOUR ROLE
As a VIE Data Scientist, you will play a crucial role in transforming raw data into actionable insights that drive business decisions within the automotive sector. Working alongside a team of data professionals, you'll apply statistical methods and machine learning techniques to solve complex challenges facing automotive manufacturers and suppliers, helping them innovate and optimize their operations.
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
YOUR PROFILE
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
What You Will Love About Working Here
Empowering environment - Autonomy and Goal setting are among the top scores with 8.4+ ratings in our monthly employee feedback Pulse.
FlexAbroad - Employees in 20+ countries can work abroad for up to 45 days in a 12-month period.
Free access to learning platforms - Free access for all to world-class learning assets and curated programs from Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, Google and many more.
Worldwide Leader of Engineering Services - Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. We help our clients unleashing their R&D potential to develop smart products and services of tomorrow.
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