AI Data Engineer and Business Analyst SCM (m/f/d)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 TEAMOur 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.
RESPONSIBILITIESWork in close alignment with 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 engineering, data products, and data architecture frameworks.Drive the sustainable implementation of our new GenAI-oriented Supply Chain Intelligence platform, including:Data integration for various Supply Chain AI solutionsUtilizing enterprise data product conceptsData science-related aspectsGenAI functionalities, especially high-performance of the applicationCreate 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.QUALIFICATIONSEducation: A bachelor or master's in information technology, software engineering, Computer Science, Data Science, or other data-centric disciplines.Work experience: 4+ years of professional implementation experience in data engineering/data science.Technical and professional knowledge (Must have):At least 3 years of data engineering/data science experience with:Utilizing Microsoft Azure cloud components for ML and Data Science, e.g., Databricks, Azure Data FactoryDeveloping data pipelinesHands-on experience working with large data sets, relational databases, data integration, and related technologies (SQL, Databricks, Kafka, etc.).Expert knowledge of Python with a focus on machine learning and data science-related libraries (e.g., Pandas, scikit-learn, TensorFlow, PyTorch, etc.). Familiarity with object-oriented programming is a plus.BENEFITSA secure work environment because your health, safety, and wellbeing is always our top priority.Flexible work schedule and home-office options, so that you can balance your working life and private life.Learning and development opportunities.23 holiday days per year.5 additional days (readjustment).A collaborative, trustful, and innovative work environment.Being part of an international team and working on global projects.Relocation assistance to Madrid provided.At BASF, the chemistry is right.Because we are counting on innovative solutions, on sustainable actions, and on connected thinking. And on you. Become a part of our formula for success and develop the future with us - in a global team that embraces diversity and equal opportunities irrespective of gender, age, origin, sexual orientation, disability, or belief.
#J-18808-Ljbffr
