SAP (Senior) Data Scientist - Data Engineer (F/M)

Key Skills

Deep Learning, JavaScript, Kubeflow, Kubernetes-K8s, Machine learning techniques, MLflow, PySpark, Python Programming, Scala Programming, SQL

Job Description

We help the world run better

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. 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.Apply now! 

SUMMARY

We are looking for an experienced Data Engineer who will be responsible for addressing data and machine learning model problems within a large multinational team of experts. They will work closely with other team members to troubleshoot data-related issues, develop and maintain data pipelines, monitor and improve machine learning models and ensure data quality and integrity. The ideal candidate will have experience with data integration, ETL processes and non-SQL database management. They should also have excellent problem-solving skills, strong communication skills, and the ability to work collaboratively in a distributed and multinational team environment.

THE ROLE

• Maintain and optimize machine learning models, identify new ideas to evolve them, develop new ones and benchmark possible solutions. 
• Research and implement best practices to enhance existing machine learning infrastructure 
• Implement machine learning algorithms and libraries 
• Analyze large and complex data sets to derive valuable insights
• Develop data and model pipelines.
• Write production-level code and bring it to production
• Engage in code reviews

EDUCATION AND QUALIFICATIONS / SKILLS AND COMPETENCIES

• MSc in Computer Science, Data Science or Machine Learning
• 3-8 years of industry experience with writing code (e.g., Python, Scala, PySpark, JavaScript) and taking ML models/ algorithms to production, designing and implementing machine learning pipelines in production environments
• Solid expertise in Doker, Kubernetes, KubeFLow, MLFlow
• Practical, hands on, experience in architecting, training and analyzing deep learning models, working with big-data and no-SQL technologies. 
• Experience in Data Manipulation /data analytics / data management / Big data system
• Familiar with modern DevOps practice and ability to establish CI/CD process, full stack experience in big data processing, aggregation, analysis and visualization.
• Ability to perform technology selection and technology evaluation.

TEAM/LINE OF BUSINESS

As Customer eXperience & Solutions (CXS) team, we develop products & solutions that enable digital transformation for our customers.

The CXS Service and Support Data Lake team belongs to the Product Engineering (PE) board area.

Our team focuses on development of AI based services for SAP customers as well as SAP employees working in Services and Support.

We build breakthroughs together

SAP innovations help more than 400,000 customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with 200 million users and more than 100,000 employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, we build breakthroughs, together.