IT Technology Services Expert-Data Scientist

We help the world run better
At SAP we keep it simple: you bring your best to us and well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce and we need your unique talents to help shape whats next. The work is challenging but it matters. Youll find a place where you can be yourself prioritize your wellbeing and truly belong. Whats in it for you Constant learning skill growth great benefits and a team that wants you to grow and succeed.

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 SAPs 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 youll build:

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 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 -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

Where you belong:

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.

#SAPECSCareers

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
SAPs 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 world.

SAP is committed to the values of Equal Employment Opportunity and provides 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:

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.

Qualified applicants will receive consideration for employment without regard to their age race religion national origin ethnicity gender (including pregnancy childbirth et al) sexual orientation gender identity or expression protected veteran status or disability in compliance with applicable federal state and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 438757 Work Area: Information Technology Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid