SAP
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Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong.
We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
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.
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
Hands-on Data Scientist with 3+ years of experience in machine learning or applied AI
A relevant university degree from Data Science, AI or equivalent
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.
Meet your team
We are a Data and Engineering focused team working to transform SAP’s customer support business through AI and data-driven innovation. Our team includes data scientists, data engineers, and software developers. We build AI-native microservices, applications, and agentic AI workflows that simplify the customer support journey and bring AI capabilities into real-world use.
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 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: 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.
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: 456562 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
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