SAP
.Forward Deployed Data and Applied Science Chief Expert(m/w/x)
Full-timeOn-siteNot specified
Garching bei München
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SASAP
.Forward Deployed Data and Applied Science Chief Expert(m/w/x)
Garching bei München
Full-timeOn-site
AI/ML
Data Science
Nejo AI Summary
Designing and governing Agentic AI models and algorithms for SAP's business application software. Deep expertise in data science, applied statistics, and machine learning required. Constant learning and skill growth opportunities.
Requirements
- Proactive AI leveraging in workflows
- Deep expertise in data science, applied statistics, machine learning
- Lead and govern complex, business-critical initiatives
- Work in Agentic AI context, shape AI agents
- Strong command of modern analytics and ML technologies
- Exceptional stakeholder communication and advisory skills
- Thought leader or "go-to" expert in data and applied science
- Expertise in designing scalable end-to-end data pipelines
- Strong expertise in enterprise data modelling, orchestration, system integration
- Advanced proficiency in Python and SQL
- Hands-on experience with PySpark, Databricks
- Expertise in workflow orchestration using Airflow
- Strong experience with SAP HANA and enterprise data platforms
- Proficiency in lakehouse and columnar storage technologies
- Experience implementing real-time streaming architectures using Kafka
- Strong focus on data quality, governance, compliance, PII management
- Expertise in applying CI/CD, Docker, Git
Tasks
- Define and lead complex data science and AI initiatives
- Align data science programs with business and financial goals
- Set standards for advanced analytics and AI quality
- Design and govern robust data models and algorithms
- Translate strategic challenges into analytical approaches
- Influence strategy and investment decisions with data insights
- Embed in customer projects to understand business processes
- Represent SAP externally as an AI and data science expert
- Mentor senior data scientists for innovation and growth
- Partner with stakeholders to shape high-value AI initiatives
- Drive co-creation and delivery of enterprise-scale solutions
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AI
- Python
- SQL
- PySpark
- Databricks
- Airflow
- SAP HANA
- Parquet
- Delta Lake
- Kafka
- CI/CD
- Docker
- Git
- NLP
- generative AI
Benefits
Learning & Development
- Constant learning
- Skill growth
Other Benefits
- Great benefits
- Accessibility accommodations
Mentorship & Coaching
- Team growth support
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SASAP
.Forward Deployed Data and Applied Science Chief Expert(m/w/x)
Garching bei München
Full-timeOn-site
AI/ML
Data Science
Nejo AI Summary
Designing and governing Agentic AI models and algorithms for SAP's business application software. Deep expertise in data science, applied statistics, and machine learning required. Constant learning and skill growth opportunities.
Requirements
- Proactive AI leveraging in workflows
- Deep expertise in data science, applied statistics, machine learning
- Lead and govern complex, business-critical initiatives
- Work in Agentic AI context, shape AI agents
- Strong command of modern analytics and ML technologies
- Exceptional stakeholder communication and advisory skills
- Thought leader or "go-to" expert in data and applied science
- Expertise in designing scalable end-to-end data pipelines
- Strong expertise in enterprise data modelling, orchestration, system integration
- Advanced proficiency in Python and SQL
- Hands-on experience with PySpark, Databricks
- Expertise in workflow orchestration using Airflow
- Strong experience with SAP HANA and enterprise data platforms
- Proficiency in lakehouse and columnar storage technologies
- Experience implementing real-time streaming architectures using Kafka
- Strong focus on data quality, governance, compliance, PII management
- Expertise in applying CI/CD, Docker, Git
Tasks
- Define and lead complex data science and AI initiatives
- Align data science programs with business and financial goals
- Set standards for advanced analytics and AI quality
- Design and govern robust data models and algorithms
- Translate strategic challenges into analytical approaches
- Influence strategy and investment decisions with data insights
- Embed in customer projects to understand business processes
- Represent SAP externally as an AI and data science expert
- Mentor senior data scientists for innovation and growth
- Partner with stakeholders to shape high-value AI initiatives
- Drive co-creation and delivery of enterprise-scale solutions
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AI
- Python
- SQL
- PySpark
- Databricks
- Airflow
- SAP HANA
- Parquet
- Delta Lake
- Kafka
- CI/CD
- Docker
- Git
- NLP
- generative AI
Benefits
Learning & Development
- Constant learning
- Skill growth
Other Benefits
- Great benefits
- Accessibility accommodations
Mentorship & Coaching
- Team growth support
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
SAP
Industry
IT
Description
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
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