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About the Role
In this role, you will design, develop, and apply advanced data science, statistical, and machine learning methods to solve complex business problems. Embedded within customer engagements and fast-paced delivery teams, you will translate business challenges into scalable analytical and AI solutions that deliver measurable outcomes. Working closely with customers, engineers, and product teams, you will build production-ready machine learning and Generative AI solutions while continuously improving model quality, performance, and business impact.
Responsibilities
- Transform business challenges into data-driven solutions by identifying analytical opportunities, exploring data, engineering features, and developing predictive models.
- Design, develop, train, evaluate, and optimize machine learning models and statistical solutions for enterprise business scenarios.
- Apply techniques across exploratory data analysis, forecasting, classification, clustering, recommendation systems, anomaly detection, experimentation, causal analysis, and predictive analytics.
- Develop Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, vector databases, and Agentic AI frameworks.
- Integrate analytical and AI solutions into enterprise applications and business processes, ensuring scalability, robustness, and production readiness.
- Define evaluation metrics, validate model performance, monitor deployed models, and continuously improve solution accuracy and reliability.
- Work closely with customer teams to understand business processes, data landscapes, and operational challenges to co-create impactful AI solutions.
- Collaborate with AI Engineers, Data Engineers, Product Managers, and UX teams to deliver end-to-end AI products.
- Communicate analytical findings, technical trade-offs, and solution recommendations clearly to engineering teams and customer stakeholders.
- Stay current with the latest advancements in Data Science, Machine Learning, Generative AI, and Agentic AI, applying emerging techniques where appropriate.
Requirements
- Strong hands-on expertise in Data Science, Machine Learning, and Applied AI with excellent proficiency in Python and SQL.
- Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar technologies.
- Strong understanding of statistics, probability, hypothesis testing, experimental design, model evaluation, and feature engineering.
- Experience developing predictive models, recommendation systems, forecasting models, anomaly detection, and classification algorithms.
- Hands-on experience with Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and AI orchestration frameworks such as LangGraph, LangChain, CrewAI, or AutoGen.
- Experience deploying machine learning and AI solutions using cloud-native platforms and modern MLOps practices.
- Familiarity with SAP data landscapes including SAP S/4HANA, SAP HANA Cloud, SAP BW/4HANA, SAP Business Technology Platform (BTP), AI Core, AI Launchpad, and SAP AI services is an advantage.
- Ability to translate ambiguous business requirements into practical analytical solutions while balancing model accuracy, interpretability, scalability, and business value.
- Strong communication, collaboration, and problem-solving skills with the ability to work effectively in customer-facing environments.
- Proactively leverage AI in everyday workflows, ensuring high-quality outcomes through thoughtful context design, experimentation, and system integration.
Skills
- Python
- SQL
- Scikit-learn
- TensorFlow
- PyTorch
- XGBoost
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Embeddings
- Vector Databases
- LangGraph
- LangChain
- CrewAI
- AutoGen
- MLOps
Location
- Americas
- Europe
- Asia
- Hybrid
Work Type
- Regular Full Time
Experience Level
- Professional
Benefits
- Constant learning
- Skill growth
- Great benefits
- Team that wants you to grow and succeed
- Focus on health and well-being
- Flexible working models
About the Company
- We help the world run better.
- 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.
- 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 world.
Equal Opportunity
- SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities.
- 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.