ABOUT US
At BASF Digital Hub Madrid, we develop innovative digital solutions for BASF, create new exciting customer experiences and business growth, and drive efficiencies in processes, helping to strengthen BASF's position as the digital leader in the chemical industry. We believe the right path is through creativity, trial and error, and great people working and learning together. Become part of our team and develop the future with us - in a global team that embraces diversity and equal opportunities.
JOIN THE TEAM
Our team "Artificial Intelligence (AI) Solutions for Supply Chains" develops innovative solutions to derive insights from data that support better and faster business decisions. We implement (Generative) AI-driven solutions in its complete lifecycle for users in supply chain management around the world.
RESPONSIBILITIES Work in close alignment with the other project team members and stakeholders to fully understand background and business requirements of each party and consult them in their activities.Translate the collected business requirements into technical concepts, especially regarding data science and ML engineering with a focus on GenAI architecture frameworks.Drive the sustainable implementation of our new GenAI-oriented Supply Chain applications, including:Data preparation for our Supply Chain AI solutions.Utilizing enterprise data product concepts.Data science related aspects.GenAI functionalities, especially high-performance of the application.Create product requirement documents and maintain them in an agile working mode, e.g., in Azure DevOps boards and tasks.Work in an international and agile DevOps environment and apply agile principles for setting priorities and managing multiple stakeholders in a challenging business environment.Share your knowledge and expertise with colleagues and promote a culture of AI-driven innovation within the organization.Manage communication with external vendors to validate the landscape design & integration concept.QUALIFICATIONS Education: A bachelor or master's in Computer Science, Data Science or other data-centric disciplines.Work experience: 6+ years professional implementation experience in data science/engineering.Experience with Agile way of working or agile implementation approach.Strong Communication & Presentation skills.Experience as product owner of data-driven applications.Technical and professional knowledge (Must have):At least 4 years of data science/AI experience with:Utilizing Microsoft Azure cloud components for ML and Data Science, e.g., Databricks, Azure Data Factory.Integrating external data into MLOps frameworks.Hands-on experience with developing GenAI-based chatbots.Hands-on experience working with large data sets, relational databases, data integration and related technologies (SQL, Databricks, etc.).Expert knowledge of Python with a focus on machine learning and data science related libraries (e.g.).
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