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About the Role

We are looking for a Data Scientist with 3+ years of experience to join our team and help deliver end-to-end AI solutions for customer support use cases. In this role, you will work on machine learning, AI, LLM-based applications, retrieval systems, recommendation systems, and data-driven services that are integrated into customer support processes. You will collaborate with data scientists, data engineers, machine learning engineers, and software developers to transform ideas, prototypes, and models into reliable solutions that support faster and smarter customer support.

Responsibilities

• Understand business and technical requirements for AI and data science solutions in the Support Delivery domain.
• Work on AI-powered services and applications that support customer support use cases such as case analysis, knowledge retrieval, recommendations, classification, and automation.
• Take models and algorithms from experimentation to production in collaboration with machine learning engineers and developers.
• Design and implement data pipelines, model pipelines, and ML microservices where required.
• Analyze large-scale structured and unstructured data to identify patterns, improve model performance, and generate actionable insights.
• Apply modern AI techniques including LLMs, embeddings, RAG, semantic search, knowledge graphs, and agentic workflows where relevant.
• Collaborate closely with data engineers, machine learning engineers, software developers, and product stakeholders to deliver production-ready AI solutions.
• Collaborate with both technical and business stakeholders to translate requirements into scalable AI solutions.

Requirements

• Hands-on Data Scientist with 3+ years of experience in machine learning or applied AI.
• Strong Python and practical data science skills, including data analysis, feature engineering, model development, evaluation, and experimentation with structured or unstructured data.
• Familiarity with SQL, cloud-native tools, production readiness, and technologies such as Spark or Elasticsearch is valuable.
• Strong problem-solving, communication, curiosity, and the ability to work independently and collaborate with engineering teams are essential.

Skills

• Machine Learning
• AI
• LLM-based applications
• Retrieval systems
• Recommendation systems
• Data-driven services
• Python
• Data analysis
• Feature engineering
• Model development
• Model evaluation
• Experimentation
• SQL
• Cloud-native tools
• Production readiness
• Spark
• Elasticsearch
• Problem-solving
• Communication
• Collaboration
• LLMs
• Embeddings
• RAG
• Semantic search
• Knowledge graphs
• Agentic workflows

Location

• Hybrid

Work Type

• Regular Full Time

Experience Level

• 3+ years of experience

Education Level

• Relevant university degree from Data Science, AI or equivalent

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.
• 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 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.