Senior Data Scientist

vor 1 Monat

Garching bei München, Bayern, Deutschland SAP Vollzeit

pbAbout the Role/b/ppWe are seeking a highly skilled Data Scientist to join our team at SAP. As a Data Scientist, you will be responsible for developing and implementing AI use cases and prototypes to increase automation in business cases involving machine learning models./ppbKey Responsibilities/b/pulliDesign, architect, and implement AI models and LLM algorithms to analyze datasets and identify trends, patterns, and provide insights that address the pain points of our customers./liliSupport the business use case development and value generation process from ideation to solution delivery with the aim to increase business case automation and efficiency for our customers./liliContinuously learn and develop by researching, understanding, and implementing the latest and rapidly changing AI technologies to keep your growth mindset and always stay one step ahead with a strong focus on generative AI and large language models./liliCollaborate with cross-board and cross-functional teams and hand in hand with our developers to integrate AI solutions into existing, improved, or new product features and business processes./liliWillingness to collaborate with other Data Scientists on AI matters and with Development Architects and Engagement Leads to define and realize a state-of-the-art overall solution./liliBeing a passionate advocate of problem-solving and approaching challenges with a proactive and solution-oriented mindset. Always looking for the most efficient and effective ways to find and unlock efficiency and automation potential for our customers while meeting ambitious project timelines./liliCommunicating regular project updates and the relevance of achieved results using data visualization techniques in a visual, audience-friendly, and consistent way to management and stakeholders./liliShare your knowledge in the team to harness the latest in technology for innovation and creativity in business application development./li/ulpbRequirements/b/pulliUniversity degree in Physics, Mathematics, Computer Science, Statistics, Data Science, or related technical field, ideally Ph.D./lili6+ years of experience in delivering and/or managing data science projects. Several full project lifecycles with a distinguished record of innovative contributions and expertise in technology development desired./liliExtensive knowledge of ML model validation and experience with ML evaluation metrics and best practices in the context of generative AI and related use cases./liliCreate AI models by applying mathematical tools like classic AI, statistical concepts, stochastics, and time series analysis./liliKnowledge of SAP Business Technology Platform (BTP) and S/4HANA Public Cloud Edition./liliKnowledge of programming languages and relevant experiences in data modeling and using data analytical tools and techniques (like Python, SQL, Hadoop, R, Data Bricks)./liliExperience with at least one of the following cloud-related technologies & concepts: Kubernetes, Docker, Kubeflow, or other IaaS/PaaS environments./liliExcellent presentation skills and experienced in customer interaction as well as verbal and written communication skills in English. German or basic German language skills are desirable and a plus./liliProficient in the ethical and responsible use of AI, including understanding biases in data and models and promoting transparency and fairness in machine learning applications./liliExperience in mathematical modeling and optimization and the ability to abstract the scientific aspects efficiently into practical business cases that our customers love to use./liliTrack record of developing AI use cases that resolve the complexity of data and information into business-effective solutions and use cases./li/ulpbAbout SAP/b/ppSAP innovations help more than four hundred thousand 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 two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development./ppbWe Win with Inclusion/b/ppSAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world./p

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