Expert Data Scientist

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.  

As a Senior Data Scientist, you will work within an international team of data scientists and data engineers to deliver top-grade machine learning-based cloud solutions into production. We solve real-world challenges posed by SAP's customers and product units with focus on intelligent document processing, e.g., information extraction, OCR, and entity recognition. You will apply the state-of-the-art in deep learning and take one of the richest data sets available in industry to the next level.

What you’ll do

Push the frontiers of what is possible in the area of machine learning working with real data.
Explore, understand, and implement the most recent machine learning algorithms and approaches.
Responsible for creating prototypes involving machine learning models to address business problems. Regular project updates using data visualization techniques and audience friendly approach with management and stakeholders.
Communicate the relevance of implemented systems and achieved results in a visual and consistent way.

What you bring

In-depth AI and data science knowledge, with a focus on natural language processing and/or computer vision.
Intermediate understanding of databases such as SAP HANA, SQL Server, or Oracle.
Drive all the phases of Data Management Center of Excellence (CoE) data science projects from initial business understanding to final Deployment. Hands-on experience architecting and implementing deep learning / machine learning / data science projects for innovative products.
Experience in working directly with senior stakeholders and cross-functional teams.

Fluency in English, both written and spoken.

Tech you bring

• Relevant experiences in data modeling and using data analytical tools and techniques (e.g., Python, SQL, Hadoop, R, Data Bricks)

• Intermediate understanding of databases such as SAP HANA, SQL Server, or Oracle

• Familiarity with statistical models and data mining algorithms

• Ability to understand business requirements and project objectives

• Ability to understand and analyze use case data

• Ability to prepare and organize data for data modeling

• AI modeling skills. Use adequate modeling techniques to produce relevant models. Knowledge of SAP Business Technology Platform (BTP).

• Evaluation skills. Assess quality and robustness of models to meet business objectives and adjust models.

• Deployment skills. Deploy models and share results with stakeholders.

• Ability to manage data lakes end to end from creation to maintenance

Meet your team

SAP Enterprise Cloud Services enables our customers to focus on driving innovation for the future with a focus on flexibility and simplification. We provide customers with a scalable and adaptable operating model, secure and resilient best-in-class technology, and IT governance to ensure production availability across the application and infrastructure landscape.

 The Data Management Center of Excellence (CoE), a key pillar within the Enterprise Cloud Services (ECS) CAE organization is the common theme across all CAE areas for AI, database, and data management technologies. For AI specifically, our mission is to use AI solutions across delivery and operations for automating time sensitive and repetitive tasks.

#SAPInternalT4

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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: 393586  | Work Area: Information Technology  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid.

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