SAP Senior Data Scientist @ SAP India

Purpose & Objective

As Customer eXperience & Solutions (CXS) team, we develop products & solutions that enable digital transformation for our customers. As the thought leaders for Application Lifecycle Management we develop the Cloud Application Lifecycle Management (CALM) platform with applications and services to support the complete application lifecycle for all SAP solutions. CALM is being built on the latest version SAP Cloud Platform - Cloud Foundry and is an essential part to deliver the Integrated Enterprise Suite. Our team focus on automated Service Delivery Applications within CALM using the CSI Data Lake and AI.

Expectation & Task

• Oversee the entire machine learning lifecycle (research, design, experimentation, development. deployment, monitoring, and maintenance)
• Maintain and optimize machine learning models, identify new ideas to evolve them, develop new ones & benchmark possible solutions.
• Research & 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
• Design & develop large scale training & deployment systems, using multiple GPU's and servers, dedicated H/W, Multi-threading and Parallelization
• Collaborate with data engineers to develop data and model pipelines
• machine learning & data science techniques & design distributed systems
• Write production-level code, bring code to production and engage in code reviews

Experience & Education

• At least 4 yrs experience as technology leader, architect or principal engineer and 3 yrs experience working with big-data and no-SQL technologies.
• M.Tech / MCA or master s degree in mathematics or Data Science from reputed institutes
• Extensive knowledge of machine learning evaluation metrics and best practices, building, validating and evaluating of machine learning model, designing and implementing machine learning pipelines in production environments & experience in architecting, training and analyzing deep learning models
• Experience with building big data pipelines and Data Manipulation /data analytics / data management / Big data system.
• Ability to perform technology selection and technology evaluation.
• Experience in modern DevOps practice and ability to establish CI/CD process and Docker & Kubernetes
• Industry experience with writing code (e.g., Python, Scala, PySpark, JavaScrip) and taking ML models/ algorithms to production
• Strong analytical skills, results-oriented, customer-oriented attitude, good strategic and conceptual thinking skills
• Ability to present complex information in a clear and concise manner
• Experience in cloud-based SaaS applications