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.

What you`ll do:Summary:

We are looking for a Senior Data Scientist who combines strong analytical and modeling expertise with a deep understanding of business impact. In this role, you will design and deliver advanced data-driven solutions, translating complex data into actionable insights and scalable models that drive decision-making and innovation.

The Role:

In this role, you will work across the full data science lifecycle, from problem framing and data exploration to model development, deployment, and continuous improvement. You will collaborate closely with Product Owners, engineers, and business stakeholders to identify high-value use cases and deliver measurable outcomes. You will also play a key role in shaping best practices and mentoring other data professionals.

Responsibilities:

• Identify and frame business problems into data science solutions with clear impact and success criteria

• Design, develop, and deploy machine learning and statistical models for real-world applications

• Explore and analyze large, complex datasets to extract meaningful insights and patterns

• Collaborate with data engineers and software engineers to build scalable data pipelines and production-ready solutions

• Communicate findings and recommendations to both technical and non-technical stakeholders

• Monitor model performance, ensure reliability, and drive continuous improvement

• Apply best practices in experimentation, validation, and reproducibility

• Contribute to the definition of data science standards, tools, and methodologies

• Mentor junior data scientists and foster a culture of learning and innovation

• Stay up to date with the latest developments in data science, machine learning, and AI

What you bring:

• Degree in data science, computer science, statistics, mathematics, or a related field

• Several years of experience in data science, machine learning, or a related role

• Strong expertise in statistical analysis, machine learning algorithms, and model evaluation techniques

• Proficiency in programming languages such as Python or R and common data science libraries (e.g., pandas, scikit-learn, Tensor Flow, Py Torch)

• Experience with data manipulation, feature engineering, and working with large datasets

• Hands-on experience deploying models into production environments

• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and modern data ecosystems (e.g. Databricks)

• Strong problem-solving skills and the ability to translate business needs into technical solutions

• Excellent communication skills and a collaborative mindset

• Fluent English and a proactive, results-driven approach

Nice to have but not a must

• Experience with MLOps practices and tools (e.g., MLflow, Kubeflow)

• Knowledge of deep learning, NLP, or generative AI techniques

• Domain experience in customer support or service industry

These skills are a plus. If you don’t have experience in all these areas, we’ll provide the resources and training you need to become a leader in cutting-edge AI technologies.

Meet your team:

Service Management Processes & Solutions holds global responsibility for all products and tools that empower SAP's customer-facing and employee-facing service management processes. We are dedicated to delivering innovative solutions that drive efficiency and excellence across our service ecosystem.

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: 448910 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #