Data Scientist
vor 4 Wochen
About the Role
We are seeking a highly skilled Data Scientist to join our agile AI development team. As a Data Scientist, you will work closely with our team of data scientists, AI/ML engineers, and software engineers to develop and deploy AI/ML models for SAP's internal business organizations.
Key Responsibilities
- Work with a global team to design and implement AI/ML models and deployment pipelines
- Collaborate with stakeholders to understand software development processes and model input data
- Develop end-to-end AI solutions for generating insights and automation for various business processes
- Implement ETL pipelines in big data scenarios
- Execute MLOps: continuous integration, continuous delivery, and continuous training for ML models
- Stay up-to-date with state-of-the-art algorithms and technologies in AI and data science
Requirements
- Master's Degree in Data Science or related fields
- Experience in Python programming and distributed computing frameworks (e.g. Apache Spark)
- Familiarity with a wide range of ML/AI algorithms, statistical models, ML architectures, and ETL pipelines
- Experience in ML development (e.g. scikit-learn, MLLib, Keras, PyTorch, TensorFlow)
- Big Data and analytics experience (e.g. Apache Hadoop, Apache Spark)
- Hyperscaler platforms experience (e.g. AWS, GCP, Azure)
- Regular usage of software version control and testing (e.g. GitHub, Git, Jenkins)
- Strong background in data engineering best practices
- Broad knowledge of MLOps best practices
About SAP
SAP is a leading provider of enterprise software and services. Our company culture is focused on collaboration and a shared passion to help the world run better. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for individual contributions, and a variety of benefit options.
Why Join Us
At SAP, you will have the opportunity to work on cutting-edge AI/ML projects, collaborate with a global team of experts, and develop your skills in a dynamic and supportive environment. We value an open, out-of-the-box-thinking, creative, and solution-oriented mindset building on a strong AI knowledge.
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