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Generalist Data Scientist role with broad ML requirements and likely mid-level experience, increasing applicant competition.
Strong ML/modeling emphasis but SAP ECC/HANA enterprise data requirements limit cross-industry transferability somewhat.
No explicit years but requires end-to-end ML capabilities plus SAP/enterprise integration, producing moderate filtering.
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Design, develop, and deploy machine learning and predictive analytics models to address complex business challenges.
Extract, integrate, and analyze large volumes of structured and unstructured data from SAP ECC, SAP HANA, and other enterprise systems.
Build and maintain scalable data pipelines and analytical frameworks to support business intelligence and advanced analytics initiatives.
Experience with machine learning model development including forecasting, classification, clustering, recommendation, and anomaly detection.
Skills in data extraction, integration, and analysis from SAP ECC, SAP HANA, or similar enterprise systems.
Ability to build scalable data pipelines for advanced analytics.
Work Experience Required: Not explicitly mentioned in the JD
Experienced in building and optimizing predictive models for business impact.
Comfortable working with large, complex enterprise datasets, including ERP systems like SAP ECC and SAP HANA.
Skilled in communicating technical findings to both technical and non-technical stakeholders to drive decision-making.