(Senior) Data Scientist (f/m/d): Natural Language ...

Company:
Location: 10178 Berlin

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What we offer

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 & Role Information

We are looking for a (Senior) Data Scientist (f/m/d), who is an expert in natural language processing (NLP) and semantic technologies, like knowledge graphs, to join the SAP Artificial intelligence (AI) unit in the SAP Technology & Innovation board area.

As a (Senior) Data Scientist (f/m/d), you will:
  • Push the frontiers of what is possible in AI, NLP and knowledge graphs with real data and real business use cases
  • Explore, understand, and implement the most recent machine learning algorithms, natural language processing approaches and semantic technologies
  • Help to shape a coherent strategy for natural language processing and knowledge graphs for SAP’s AI portfolio with product experts, data scientists, domain experts and engineers
  • Work through business problems from beginning to end: translating research insight into adequate concepts for SAP’s customers
  • Understand business processes which create and consume data to be able to select the best approaches, evaluate their performance, and assess business relevance
  • Lead small project teams – collecting requirements from a product team or co-innovation customer and coordinating the machine learning development
  • Communicate the relevance of implemented systems and achieved results in a visual and consistent way

Experience & Role Requirements

We are looking for candidates with 5+ years of related professional experience, including at least 4 years of experience in a role related to AI and machine learning.
Required
  • Master or Ph.D. in computer science, mathematics, physics, or related field
  • In-depth AI and data science knowledge, with a focus on natural language processing and knowledge graphs, and proven track record to translate AI into enterprise software solutions
  • Deep understanding of semantic technologies like knowledge graphs, graph databases, semantic web, data linkage, etc.
  • Proven experience in planning, executing and coordinating data science projects as well as proven track record of high-quality AI research
  • Ability to work in a global team with distributed stakeholders and team members and ability to communicate on senior executive level
  • Very good English language skills mandatory - Good German language skills are highly beneficial
  • Experience with SAP product development and products portfolio beneficial

About our line of business
Artificial intelligence (AI) includes algorithms that learn from data without having to be explicitly programmed. AI facilitates natural human-machine interaction, automation, and the extension of human decision making and cognition.
As a cornerstone of SAP’s promise to deliver the intelligent enterprise, AI has immense strategic importance and transformation potential for SAP and our customers. SAP owns the data and business processes of the world’s enterprises, so we have an opportunity and imperative to make all SAP applications intelligent. For our customers, this will increase revenue and customer satisfaction, reduce cost, and let their employees focus on the real job to be done.


We are SAP

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.


Our inclusion promise

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. We ultimately believe in unleashing all talent and creating a better and more equitable world.


SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Americas: Careers.NorthAmerica@sap.com or Careers.LatinAmerica@sap.com, APJ: Careers.APJ@sap.com, EMEA: Careers@sap.com.


EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID:295843 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time or Part Time | Additional Locations: Berlin or Walldorf

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