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Software-Design and Development

Senior Data Scientist

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!




The SAP S/4HANA Product Insights & Experience team enables our organization to execute along the S/4HANA public cloud strategy by providing actionable product insights & experience. This will help to steer the S/4HANA Cloud product, improve the product experience and ultimately drive customer satisfaction. The team is part of the SAP S/4HANA Cross Product Management organization and drives the outlined topics for SAP S/4HANA in strong collaboration with stakeholders inside and outside the organization. The PI&X team consists out of three main pillars: 1. Experience Data Insights (e.g. direct end user feedback via Qualtrics), 2. Operational Data Insights (e.g. Usage & telemetry, License Compliance) and 3. Cross analytics & data (e.g. tools, infrastructure, data science, taxonomy).


In your role you’ll primarily work on the pillar “Cross Data & Analytics” and will be responsible for driving this topic end-to-end in close collaboration with the other two pillars of the PI&X team. This pillar main deals with the analytical tools & infrastructure for providing product insights & experience as well as sophisticated data analysis for getting new insights. The role is to the largest degree inbound focused and includes following main tasks / expectations towards it:

  • Conduct sophisticated analysis & data science for the available product insights & experience such as correlations between qualitative & quantitative insights
  • Apply data science tools & technology to support business requirements and needs
  • Solve business questions by developing algorithms, data mining flow and others
  • Specify and design data mining methods and integrate or implement these into PI&X related steering tools
  • Formulate and test hypothesis for product steering
  • Detected pattern analysis and predict future developments based on data
  • Create prototypes with stakeholders such as engineering teams.
  • Define and build strategy for analytical tools, landscape and infrastructure for PI&X reporting (e.g. onboard new tools, solutions, assets, data integration, etc.)
  • Build and maintain central repository of terms, definitions, semantics in the context of S/4HANA Cloud
  • Build, outsource, maintain reporting vehicles for product insights & experience of S/4HANA Cloud – along use-cases & personas
  • Mock-up and visualize data & analytics in order to build dashboards & views
  • Enable both standardized as well as self-service reporting assets for the respective user groups
  • Translate business requirements from the pillars into concrete designs, mock-ups, etc. for future reporting assets

Selected main stakeholder of your role will be: Intelligent Data & Analytics, S/4HANA PI&X pillars and others


  • Bachelor’s degree in Business Administration / IT (Masters or MBA a plus)
  • Minimum 2 years of professional work experience within SAP
  • Minimum of 5 years of professional work experience either within a) product unit in PM / DEV role and / or Corporate Steering functions (e.g. Finance, Portfolio, Strategy)
  • Understanding and interest in Data Science role
  • Basic understanding of SAP’s long-term product strategy and of the solution area SAP S/4HANA
  • Basic interest and knowledge about topics like usage, telemetry, product experience and data-driven insights to action
  • Basic interest and knowledge about data-driven steering
  • Knowledge in PI&X related reporting vehicles and tools such as EA-Store, Cloud Reporting, SAC, etc.
  • Advanced technical skills in data science tools
  • Hands-on experience with Data Mining tools
  • Analytical and problem-solving skillset with methodological background
  • Willing and able to work under time constraints and management pressure
  • Self-motivated, results-driven resource, with demonstrable success in previous positions
  • Open-minded with E2E thinking along SAP’s value chain and functions
  • Pro-active and eager to learn new things & working in a cross-functional team
  • Proficiency in Microsoft Office applications, excellent Power Point and Excel skills
  • Fluent in multiple languages – English mandatory, German is a plus




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:311334 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time  | Additional Locations: 

Senior Data Scientist

Facility:  311334
Posted Date:  Nov 20, 2021
Work Area:  Software-Design and Development
Career Status:  Professional
Employment Type:  Regular Full Time
Expected Travel:  0 - 10%

Bangalore, IN, 560066

Job Segment: Database, Scientific, ERP, Engineer, SAP, Engineering, Technology