Data Scientist
Company: FetchJobs.co
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-07-04
About this role
About The Company
Stellantis is a global leader in the automotive industry, renowned for its innovative approach to mobility solutions and commitment to sustainability. With a diverse portfolio of brands and a strong presence across continents, Stellantis continuously strives to redefine transportation through cutting-edge technology, advanced manufacturing processes, and a customer-centric philosophy. The company fosters a dynamic and inclusive work environment that encourages innovation, collaboration, and professional growth, making it an ideal place for talented professionals to thrive and contribute to shaping the future of mobility.
About The Role
The Data Scientist – AI Execution at Stellantis plays a pivotal role in designing, developing, and refining artificial intelligence and machine learning solutions that enhance purchasing data products and automation use cases. This position involves working closely within product owner-led teams to enable data-driven decision-making and intelligent automation across various business functions. The role ensures that AI capabilities are not only innovative but also robust, explainable, and scalable, aligning with corporate governance and operational frameworks. The ideal candidate will bring a strong technical background combined with excellent collaboration skills to translate complex business needs into effective AI solutions, ultimately driving efficiency and innovation within the organization.
Qualifications
To succeed in this role, candidates should possess a bachelor's or master's degree in Computer Science, Data Science, Engineering, or a related field. Proven experience in developing and deploying AI/ML models in a commercial environment is essential. Strong knowledge of programming languages such as Python or R, along with experience using machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn, is required. Familiarity with cloud platforms (AWS, Azure, GCP) and data engin...