We help the world run better
At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. 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.
What you'll do:
The Data Science Architect will collaborate closely with cross-functional teams to implement efficient data solutions
Identify and translate real world customer problems into feasible technical solutions
Conceptualize, design and deliver high quality solutions and insightful analysis
Work on gathering data and requirements, solution scoping and architecture, research and prototyping innovative models
Build solutions by exploring data, building & validating models and deploying them to deliver maximum business impact
Handle end to end project/product techno-functional solutions independently and provide guidance to other team members
Be up-to-date with latest and best practices in delivering enterprise grade data science solutions
Build credibility and trust with customers and project teams during project execution
Demonstrate adaptability and flexibility to manage deadline pressure, ambiguity and change
Collaborate with product owner, architect, fellow developers, quality and user assistance specialists on design, architecture, hands-on coding, testing, etc. to deliver best solutions to our customers
Embrace lean and agile software development principles
Analyze the impact of any new requirements on the existing solution
What you bring:
Solid understanding of the mathematics related to data science - probability, statistics, linear algebra etc.
Extensive knowledge of various machine learning algorithms and concepts used to build predictive models
In-depth knowledge of the following data science domains
Text Analysis and Natural Language Processing
Neural Networks and Deep Learning
Signal Processing, Image/Video processing and recognition
Reinforcement Learning
Hands on experience with computational packages (Numpy, Scipy, Pandas, Scikit-Learn, StatsModels, Keras, Tensorflow, etc.)
Highly proficient in SQL and good knowledge of relational database
Prior experience in deploying machine learning models into production
Exposure to SAP Cloud ERP and Hyperscale
Meet your team:
The SAP Customer Innovation Services business under the newly established Customer Services & Delivery Board area is committed to be the strategic RISE with SAP enabler and accelerate AI adoption with differentiated innovations for our customers
#DevT4PF
Bring out your best
SAP innovations help more than four hundred thousand 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 two hundred million users and more than one hundred thousand 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, you can bring out your best.
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.
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: 404563 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.
