SAP Senior Data Science Expert Job in Palo Alto, California

Requisition ID: 132415

Work Area: Software-Design and Development

Expected Travel: 0 - 10%

Career Status: Professional

Employment Type: Regular Full Time

COMPANY DESCRIPTION

As market leader in enterprise application software, SAP helps companies of all sizes and industries innovate through simplification. From the back office to the boardroom, warehouse to storefront, on premise to cloud, desktop to mobile device – SAP empowers people and organizations to work together more efficiently and use business insight more effectively to stay ahead of the competition. SAP applications and services enable customers to operate profitably, adapt continuously, and grow sustainably.

#ICNsiliconvalley

The SAP Innovation Center Network is a strategic innovation entity within SAP, combining software engineering excellence with thought leadership and entrepreneurial spirit. Across various focus clusters and by building on strong teams, we pioneer game-changing solutions in close collaboration with startups, customers & partners in industry and research as well as with other SAP units. To ensure a successful go-to-market, we follow an end-to-end responsibility approach. By exploring unconventional ideas and developing inspiring proofs of concept, we push the state of the art in computer science and its applied fields to provide SAP with foresight into future trends.

Role and Responsibility

In general a Data Science Expert can work in different areas, for example in customer projects (co-innovation, consulting, custom development, projects with internal customers), in development or research.

Below you can find main key areas of responsibilities and tasks for Data Science Experts in different work areas:

  • Customer Projects : A Data Science Expert working in customer projects leads project teams of any size in the execution of our customer projects, or participates in such projects as the carrier of extraordinary skills and unique data science expertise. These project teams execute the mathematical modeling of our customers’ business problems, develop algorithms, data mining flows and applications to solve these problems, and help our customers directly to understand and implement the results of the analysis. In this role, the Data Science Expert acts as a thought leader among industry and technology experts, tackling customers’ business problems with most innovative methods and opening new horizons for the SAP data science business. The Data Science Expert is also strong driver of customer opportunities, guiding SAP’s sales force and being acknowledged as a senior advisor by customer executives.

  • Development : A Data Science Expert working in development is responsible for the entire data mining functionality for a specific product. Is responsible for specification and design of data mining components/methods and the integration/ implementation into products as well as ensuring delivery of high quality components. Is responsible for generating new disruptive innovations for the product that leads competitive advantages. Is responsible for clear communication of cross-functional requirements, targets and vision for achieving business objectives. Is responsible for managing product escalations and find ways to address them. Is a thought leader for data mining topics amongst other Data Scientists in his area, initiates and drives the creation of data definitions and data storage infrastructure and architectures for data mining purposes. Works closely with product management, application developers, information developers and end users.

  • Research Projects : A Data Science Expert working in research projects is able to lead project teams of researchers of any size. Is a thought leader in his/her area of research (internally and in the scientific community), influences this area with her research contributions. Initiates the creation of best practices for data mining topics and leads the collaboration with development, universities and research institutes.

Education and Qualifications

  • Bachelor or Master degree in Mathematics, Physics, Computer Science or equivalent education.

  • 8 years of software development experience

  • Hands-on experience with Data Mining tools

  • Business English: Professional Working Proficiency

  • Independent of the working area the Data Science Expert shows technical, business and/or methodological leadership.

  • Has expert level and broad overall product and technical knowledge and experience in the area of Machine Learning/Data Mining which she shares within and across team and organization. Is recognized internally as a subject matter expert.

  • Has knowledge of trends in machine learning/ data mining.

  • Constantly improves own work methods and enhances skills beyond own core functional focus and works on other tasks for the benefit of the team.

  • Must be able to work onsite in Palo Alto, CA

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 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: C at mailto:Careers@sap.com areers@sap.com at mailto:careers@sap.com ). Requests for reasonable accommodation will be considered on a case-by-case basis.

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.

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