Senior Data Scientist

vor 4 Wochen

Garching bei München, Bayern, Deutschland SAP Vollzeit

About the Role

We 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.

Key Responsibilities

  • Design, 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.
  • Support 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.
  • Continuously 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.
  • Collaborate 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.
  • Willingness 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.
  • Being 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.
  • Communicating 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.
  • Share your knowledge in the team to harness the latest in technology for innovation and creativity in business application development.

Requirements

  • University degree in Physics, Mathematics, Computer Science, Statistics, Data Science, or related technical field, ideally Ph.D.
  • 6+ 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.
  • Extensive knowledge of ML model validation and experience with ML evaluation metrics and best practices in the context of generative AI and related use cases.
  • Create AI models by applying mathematical tools like classic AI, statistical concepts, stochastics, and time series analysis.
  • Knowledge of SAP Business Technology Platform (BTP) and S/4HANA Public Cloud Edition.
  • Knowledge of programming languages and relevant experiences in data modeling and using data analytical tools and techniques (like Python, SQL, Hadoop, R, Data Bricks).
  • Experience with at least one of the following cloud-related technologies & concepts: Kubernetes, Docker, Kubeflow, or other IaaS/PaaS environments.
  • Excellent 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.
  • Proficient in the ethical and responsible use of AI, including understanding biases in data and models and promoting transparency and fairness in machine learning applications.
  • Experience in mathematical modeling and optimization and the ability to abstract the scientific aspects efficiently into practical business cases that our customers love to use.
  • Track record of developing AI use cases that resolve the complexity of data and information into business-effective solutions and use cases.

About SAP

SAP 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.

We Win with Inclusion

SAP'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.

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