Applied Data Scientist (f/m/d) for AI development to support SAP's Business

at  SAP

WE HELP THE WORLD RUN BETTER

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

WHAT YOU BRING

We are looking for a driven and motivated team player with at least a Master’s Degree in Data Science or related fields. You should be experienced in Python programming and in distributed computing frameworks, e.g. Apache Spark. In addition familiarity with a wide range of ML/AI algorithms, statistical models, ML architectures as well as ETL pipelines is required. In more detail candidates should be experienced in:

• ML development (e.g. scikit-learn, MLLib, Keras, Pytorch, TensorFlow, etc.)
• Big Data and analytics (e.g. Apache Hadoop, Apache Spark, etc.)
• Hyperscaler platforms (e.g. AWS, GCP, Azure)
• Regular usage of software version control and testing (e.g., GitHub, Git, Jenkins, etc.)
• Strong background in data engineering best practices
• Broad knowledge of MLOps best practices

As we are a diverse multi-cultural team, strong oral and written communication skills in English are a must. German langugage skills are desired.
Since we provide cutting-edge, innovative AI/ML solutions to complex business problems we value an open, out-of-the-box-thinking, creative and solution-oriented mindset building on a strong AI knowledge.

Summary:
We are looking for a top-notch Data Scientist with solid background in data engineering to support our agile AI development team in exploring the data and developing AI/ML models for SAP’s internal business organizations.

The Role:

• Work with a global, agile team of data scientists, AI/ML engineers and software engineers on AI/ML modeling and deployment pipelines
• Communicate with global stakeholders to understand software development processes and model input data together with the AI PO
• Support the build of end-to-end AI solutions for generating insights and automation for a variety of business processes
• Implement ETL pipelines in big data scenarios
• Execute MLOps: continuous integration, continuous delivery, and continuous training for your ML models
• Keep up-to-date with state-of-the-art algorithms and technologies in AI and data science