onsite
Data Scientist - Saaki Argus And Averil Consulting
Data Scientist
Lead end‑to‑end data science projects, building predictive models and scalable pipelines on SAP platforms using Python and advanced analytics techniques to drive business insights and process improvements.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning and predictive analytics models to solve complex business problems.
- Perform exploratory data analysis, feature engineering, model selection, and performance optimization.
- Extract, integrate, and analyze large volumes of structured and unstructured data from SAP ECC, SAP HANA, and other enterprise systems.
- Build scalable data pipelines and analytical frameworks to support business intelligence and advanced analytics initiatives.
- Collaborate with business stakeholders to identify opportunities for data‑driven decision‑making and process improvement.
- Develop forecasting, classification, clustering, and recommendation solutions that translate data insights into actionable strategies.
Requirements
- Proven experience in Python, SQL, and machine learning libraries (scikit‑learn, TensorFlow, PyTorch).
- Strong background in SAP ECC/HANA data extraction and integration.
- Hands‑on experience building production‑grade data pipelines and deploying models at scale.
- Excellent analytical, problem‑solving, and communication skills.
- Ability to translate business needs into technical solutions and explain complex concepts to non‑technical stakeholders.
Skills
pythonmachine learningsap hanasql