Data Scientist

Company Overview  Stellantis is a leading global automaker and mobility provider that offers clean, connected, affordable, and safe mobility solutions. Our Company’s strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our people, and our deep roots in the communities in which we operate. Our ambitious electrification and software strategies and the creation of an innovative ecosystem of strategic, game-changing partnerships are driving our transformation to a sustainable mobility tech company.  The driving force behind us is the diverse and talented group of employees around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate and where our colleagues live and work.  With industrial operations in nearly 30 countries, Stellantis could consistently exceed the evolving needs and expectations of consumers in more than 130 markets, while creating superior value for all stakeholders.

Data Scientist   J ob   Overview   Exponential growth in adoption and deployment of connected cars and devices is bringing previously unavailable datasets to market – at scale and in real-time. Stellantis, one of the largest global car makers and the parent company of dozens of iconic brands including Jeep, Fiat, Maserati, Peugeots, and more, has created a new Data BU to harness sensor and other data from 10s of millions of connected vehicles as well as that from IoT/connected devices from external sources to build data products and services that can power hundreds of brand-new b2b and b2c applications, services, and decision-making across industries.     Mobilisights, a   Stellantis Data BU   is   seeking   a talented and innovative Data Scientist to join our team. The ideal candidate will have experience with real-time/streaming data, telematics, and the automotive domain, with a strong background in machine learning and AI. In this role, you will   leverage   advanced data science techniques to develop predictive models, uncover insights, and drive data-driven decision-making.     A truly global company, we have headquarters in Amsterdam, Paris, Turin, and Auburn Hills. We also have technology hubs on the east and west coast of the United States, in South America and India. These locations are the nerve center of our company, where the best ideas combine with unrivaled rigor to create the biggest and best automotive experiences in the world.

Machine Learning & AI :   Develop and implement machine learning models and algorithms for predictive analytics, anomaly detection, and classification tasks using real-time and historical data.   Experiment with and deploy advanced AI techniques, including deep learning, reinforcement learning, and natural language processing, as applicable to automotive data.   Data Science & Modeling :   Design and build statistical models to analyze telematics data and vehicle performance, including regression, clustering, and time-series analysis.   Utilize feature engineering techniques to extract relevant features from complex datasets and improve model accuracy.   Real-Time Data Processing :   Create and   maintain   scalable data pipelines to handle real-time streaming data from automotive sensors and telematics systems.   Implement real-time analytics solutions to   monitor   and respond to data changes instantaneously.   Automotive Domain Expertise :   Apply domain knowledge to develop models that enhance vehicle performance,   optimize   driver behavior, and predict maintenance needs.   Collaborate with automotive engineers to integrate data science solutions into vehicle systems and applications.   Data Visualization & Interpretation :   Build interactive dashboards and visualizations to convey complex data insights and model results to stakeholders.   Interpret