Data Center Hardware Asset Management Data Scientist (f/m/d) Global Cloud Services

Key Skills

Java Programming, Analytical and Problem solving, Python Programming, SQL, Data science techniques, Data Analytics

Job Description

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!

What you`ll do

You are joining our Global Cloud Services (GCS) Infrastructure Data Center Hardware Asset Management (DC HWAM) and Reporting unit. Your role will be critical for running and further developing SAP’s Data Center Hardware Asset Management Services; identifying gaps, and risks, and for creating insights from data to enable continual improvement activities of Data Center Hardware Asset Management. We are looking for a Senior Data Scientist (f/m/d) to strengthen our Data Center Hardware Asset Management (DCHW AM) Reporting & Data Quality Service Team. The responsibilities for this position may include (but not limited to) following:

• You will optimize the existing data models incl. validation rules for monitoring and continual improvement of DC asset data accuracy.
• You will work on detecting patterns and predict future developments based on data.
• You will collaborate with business stakeholders and translate the business requirements into concrete designs, mock-ups, etc. so that technical teams can implement technical solutions for e.g., process automation
• You will be responsible for the DC HWAM key attributes relevant data entities (tables/data sets), incl. working together with the technical teams of GCS Tools e.g., manage the data mapping between source tools and SISM/CCIR; maintain the relevant documentation. At the moment there are ~70 attributes that are used to describe and manage ~800.000 data center hardware assets.
• Apply data science tools & technology to support business requirements and needs; define and lead data analysis/science projects

What you bring

• 3-5 years of business experience working in a relevant data science, data analytics, and process automation role
• Strong data science and data modelling skills including multidimensional data models
• Knowledge of and practical experience with software/applications that are used to analyse business data
• Hands-on experience with analytic methods and statistical modelling procedures (e.g., hypothesis testing, regression, segmentation techniques)
• Hands-on experience using statistical programming/data mining techniques, SQL, and Python
• Experience creating actionable, business-focused analytic output
• Ability to translate analytic results into business insights; effectively communicate data-driven insights to both technical and non-technical audiences
• Problem-solving skillset with methodological background
• Detail-oriented. A commitment to excellence; pro-active and eager to learn new things & working in a cross-functional team
• Fluent English and German language skills oral and written

We build breakthroughs together

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.

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. 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: Careers@sap.com.
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.