- Experience in data science, machine learning, analytics engineering, Knowledge Graph
- Robust understanding of machine learning algorithms, statistics, and model evaluation.
- Experience working with structured and unstructured data.
- Proficiency in SQL and at least one programming language (Python, R, or Java).
- Experience integrating analytics platforms with enterprise systems and cloud environments.
- Experience with MLOps, model deployment, and monitoring.
- Familiarity with cloud platforms (AWS, Azure, GCP).
- Experience in customer-facing consulting or implementation roles.
- Hands-on experience with RapidMiner (Studio, Server/AI Hub) and RapidMiner certification(s) are a plus