Job Description

We help the world run better 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! EXPECTATIONS AND TASKS At SAP, we are enabling our customers to become Intelligent Enterprises by integrating data and processes, building flexible value chains, innovating with industry best practices, providing our customers with the ability to understand and act on their customer, partner, and employee sentiment, and how to manage their environmental impact - to grow more resilient, more profitable, and more sustainable\' While we touch 70% of the world\'s transactions, our customer would like to leverage the data and take business decision. SAP provides technology support and platform the do the same. We at SAP Customer Success Services team- BTP Delivery@Scale, build or augment application leveraging AI/ML to support their business objective. AI brings in improvement the efficiency and reduction in errors over time for a business process. We are looking for data scientist, you have strong expertise in developing ML models for customer specific business scenarios. WHAT YOU\'LL DO Guide customers and drive discussions with them to build AI/ML scenario and finalise expected business outcomes. Support our cloud customer base to improve their business process using AI/ML. Work in rapid prototype and agile development environment Develop and put the ML models in production to serve multiple enterprise customers Contribute to end-to-end AI/ML project, not restrictive to only algorithms. Contribute to building models and algorithms. Implement machine learning based intelligent software within a given software architecture in accordance with the SAP process and maintenance strategy. Work closely with other data scientist and teams to enable transformation journey with customer. SKILLS REQUIRED 8-10 years of experience Willingness to interact with customers and passionate to solve their issues Proficient in one or more programming languages (Python is must) Proficiency in ML technologies/libraries like scikit-learn, pytorch, tensorflow etc. Very strong practical hand-on NLP technology usage knowhow (apply in business context) Strong data exploration, cleansing, transformation, feature engineering skills Strong SQL knowledge Strong focus on delivering business values to customers Familiarity with code management tools like Git, GitHub etc. Familiarity with cloud computing and cloud native technologies (e.g. Docker, K8S etc.) Communication skills with the ability to communicate appropriately with customers in various situations Ability to bring forth new ideas and drive them to execution. Knowledge to ML ops is a plus Knowledge in SAP technologies is a plus (SAP BTP, SAP HANA) EDUCATION B.Tech./M.Tech. in Computer Science or Master\'s in data Analytics/Data Science 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: [HIDDEN TEXT] For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the . 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: 366217 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.

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