Présentation de la société : ALTRAN TECHNOLOGIES
World leader in engineering and R&D 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. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 60, 000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same
Missions
As a 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.In this role you will play a key role in:
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
Profil recherché
Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field1-2 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