A Machine Learning Scientist executes the mathematical modelling of our customers’ business problems, develops algorithms and applications to solve these problems, and helps our customers directly to understand and implement the results of the analysis. In this role, the Machine Learning Scientist works directly with industry experts and technology experts to translate our customers’ business needs into mathematical models and present and deliver a solution to the client. This position requires the ability to work and communicate as a part of a high performance team in an international environment.
Industry-specific experience in Retail, Consumer Products, Utilities, Finance, Banking, Automotive or Public Sector is a plus.
Experience in developing software, in most of the following areas:
Database servers: SAP HANA, Sybase ASE / ASA, ORACLE, MS SQL Server
Database programming: SQL, PL/SQL, T-SQL
Mathematical modelling: MatLab, SPSS, SAS, R
Software architectures: WEB, n-tier, SOA
Office (Excel, PowerPoint)Microsoft
Several years of relevant industry experience (Retail, Consumer Products, Utilities, Finance, Banking, Automotive or Public Sector) are desired.
Experience in working in project teams. Several projects full lifecycles desired.
Familiar with Project Management methodologies and deliverables (PMI, Prince 2, Agile)
EDUCATION AND QUALIFICATIONS/SKILLS AND COMPETENCIES
In addition to a strong scientific and IT background, the position requires strong problem-solving and consulting capabilities with the ability to communicate effectively in an international team environment.
The ideal candidate covers a major part of the following expertise areas:
University degree in Mathematics, Computer Science or Informatics
Strong background in mathematics and statistics
Strong background software development experience
Experience in mathematical modelling and optimization
Excellent understanding of statistical and technical methods to produce relevant insights out of huge amounts of data
Willingness and ability to learn quickly new mathematical or technical methods with little guidance
Willingness to participate in the sales process as a subject matter expert
Ability to inspire confidence and work with all levels of client and internal staff
Ability to deliver clear, concise presentations to non-scientific audiences
High energy, clear goal orientation and strong work ethic; “can do” attitude
Excellent verbal and written communication skills
English at advanced level is a must, German is a plus
Customer facing skills:
Ability to capture customer requirements and translate them into software specifications
Ability to present complex information in a clear and precise manner; with non-technical audience
Professional appearance and demeanour
Presentation skills – ability to create professional presentations, handle proper setup of location, use technical/visual aid, have adequate body language and vocabulary, proactively engage with customer and handle questions
SAP'S DIVERSITY COMMITMENT
To harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.
SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable ac