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:
You will work with a team of highly technical and motivated developers.
Collaborate and work with teams spread across geographies and time zones.
You will work on the entire lifecycle of development projects, both customer specific and SAP-defined. This includes the analysis and specification of the customer-specific business requirements as well as the design, implementation, maintenance and in case of cloud services operation of customer-specific solutions.
Implement backlogs for functional and non-functional requirements.
Design, develop, deploy and monitor efficient AI/ML modules that drives complex business applications.
Adhere to SAP's agile engineering practices and processes. Own your code from ideation to development, across the full stack and through QA and support.
You will work on multiple topics and technologies with adequate enablement.
What you bring:
Master’s in a highly quantitative field (Machine Learning, Operational Research, Statistics, Mathematics, etc.) preferably from a reputable institution like IITs, IISc, or equivalent.
4+ years of industry experience in a data scientist role
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 in at least 2 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.) and visualization tools
Highly proficient in SQL and good knowledge of relational database
Prior experience in deploying machine learning models into production
Experience in working with GPUs to develop models
Possess strong interpersonal and stakeholder management skills
Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format
Strong written and verbal communication skills
Demonstrated the ability to independently develop new concepts and stay current with academic research
Exposure to SAP modules along with prior experience in cloud technologies like BTP, AWS, GCP, etc. is desired.
Publications or presentations in recognized Machine Learning and Data Mining journals/conferences
Identify and translate real world customer problems into feasible technical solutions and implement them independently.
Expectations and Tasks:
Conceptualize, design and deliver high quality solutions and insightful analysis
Work on gathering data and requirements, participate in 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
Interact with both - internal and external stakeholders on a daily basis
Handle multiple projects as an individual contributor and be a multiplier by actively mentoring other resources within the team
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
Continually enhance existing skills and seek new areas for personal development.
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
Work on the latest technology and ensure on-time, high quality solutions
Embrace lean and agile software development principles
Perform high-level analysis of any new requirements/change requests to the solution from a technical standpoint
Analyze the impact of any new requirements on the existing solution
Work closely with other CIS Engineering team members, SAP Product Development teams, external partners and customer teams to ensure successful project completion
Meet your team:
SAP Customer Innovation Services Engineering (Previously known as Innovative Business Solutions (IBSO)) is a global organization dedicated to delivering innovative solutions to meet our customers’ unique business process needs. We deliver a full lifecycle of customer specific development services – from strategic planning, risk assessment, development, and quality assurance to maintenance. With development centers in the United States, Brazil, Germany, Ireland, and India, we leverage a global delivery model.
Our vision is to become the premier strategic RISE with SAP enabler, driving accelerated innovation and technology adoption leveraging the SAP Business Technology Platform and Business AI, focusing on a clean core approach.
#DataScienceT3
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: 412788 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.