Senior Data Scientist

Data Scientist who executes the mathematical modelling of our customers' business problems, and applications to solve these problems
Work along with the SAP Hybris Cloud for Customer development team in the following fields:
Investigate machine learning technologies and their interaction with our ongoing products in the CRM domain
Experiment with state-of-the-art machine learning expertise to support CRM-centric decision-making processes
Define and execute ML/NLP CRM centric scenarios
Focus on software fault-tolerance to compensate for inevitable outages in the cloud
Guide our customers in their ML/AI driven application adoption journey
Willing to learn and develop enterprise grade AI/ML driven applications.
Work in rapid prototype and agile development environment
Support our existing customer to resolve their complex issues
Perform product design, modeling, implementation, and testing
Co-operate with Product Management translate customer requests into useful product functionality

Skills / Competencies

CRM functional domain knowledge
Strong Database and SQL knowledege
Proficient in one or more programming languages such as Python
Knowledge in SAP predictive related technologies is a huge plus (SAP HANA ML libraries, SAP Predictive Analytics etc.)
Familiar with one or more machine learning/deeplearning tools such as Tensorflow, Scikit learn and R
Experience in handling ML model deployment in a production environment (data science perspective) and customer expecatation handling
Experience/understanding of conversational bots, digital assistant etc.
Excellent verbal and written communication skills, relationship skills and a strong team player
Willingness to interact with customers and passionate to solve their issues
Willing to learn new programming languages and tools/frameworks on need basis
Knowledge in SAP technologies (SAP SCP, HANA, SAP Predictive Analytics, SAP Leanardo, HANA Vora etc.) will be a plus
Doing Big data technology know-how (such as Hadoop, Spark etc.)
Exposure to Cloud computing platforms (PaaS)
Others: Determined to reach a goal in time, ability to work independently and to prioritize, pleasure in dealing with people, innovative and open-minded

Educational Requirements

Masters or advanced degree in Computer Science, Computer Engineering, Applied Mathematics, Statistics or related major preferred

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