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.

SAP Concur, market leader in integrated travel, expense and invoice management, is looking for Senior Data Scientists to help make our products even stronger through data-driven insights and AI innovation! Your responsibilities will include designing and developing machine learning models, data pipelines, and analytical solutions using various tools and technologies. You will work in a great environment with many global teams to create value for our customers, delivering high-quality and innovative data science solutions. You will also help design and ship AI-driven features (predictive models, recommendation systems, and automated analytics), ensuring they are production-ready, scalable, and compliant with privacy and fairness requirements.

Value You Deliver

Lead data science initiatives for complex business problems from research to production deployment

Design and implement end-to-end ML pipelines with advanced patterns: feature engineering, model validation, A/B testing, model monitoring, automated retraining, and performance optimization

Deploy and scale ML model-serving solutions (MLflow, Kubernetes-based serving, real-time inference endpoints) and optimize for accuracy, latency, and cost

Develop statistical models and deliver insights as part of an agile data science team

Mentor and lead team members by setting positive examples and technical guidance in statistical methods and ML best practices

Own data science solutions end-to-end, implementing scalable ML systems using AWS services like Sage Maker, EMR, Redshift, and S3

Integrate LLM (Large Language Models), implement RAG (Retrieval-Augmented Generation), and develop embedding-based solutions

Implement advanced prompt engineering, model fine-tuning, and automated evaluation frameworks

Build intelligent conversational agents and leverage them to enhance user interactions through natural language understanding and context-aware responses

Position Requirements

Bachelor’s degree or equivalent in a quantitative field (e.g., Data Science, Statistics, Mathematics, Computer Science, Engineering, etc.)

Proficient in Python with experience in ML libraries (scikit-learn, Tensor Flow, Py Torch, pandas, numpy)

MLOps mentality with understanding of model versioning, CI/CD for ML, and model observability

Experience with Docker, Kubernetes, and cloud platforms (AWS Sage Maker, EC2, S3, etc.)

Statistical expertise in experimental design, hypothesis testing, and causal inference

Hands-on experience with cloud-native ML solutions and distributed computing frameworks

Practical experience integrating LLMs or building embedding-based solutions (OpenAI, Anthropic)

Experience with AI-assisted development tools (Claude Code, Copilot, Cline) to improve development efficiency and automated ML workflows

Deep understanding of MLOps concepts: model tracking, data drift detection, automated retraining, and model governance

Value Competencies:

Build strong relationships and a positive work environment together.

Grow professionally and deliver excellence with responsibility.

Make impact visible and recognized across the organization.

The ideal candidate will have a passion for delivering optimal solutions and challenging the status quo. To be successful in this role, you will thrive in an agile environment where teams work together toward a common goal.

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: 451084 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: