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 BUILD
We are looking for a AI Data Scientist with the mindset for highest level of service for our internal customers and support to take SAP’s Marketing Technology Stack to the next level as part of our transformation journey to achieve SAP’s goals. In your role as AI Data Scientist, you will be responsible for:
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Data Collection and Preparation: Collect, clean, integrate, and preprocess large, multi-source datasets, enforcing data quality, consistency, and reproducibility.
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Translate business problems into data science and machine learning solutions
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Feature Engineering: Design, select, and validate features from raw data to strengthen signal and improve model performance and robustness.
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Model Development and Training: Build and train machine learning models—spanning classical ML, deep learning, and NLP—choosing appropriate algorithms, architectures, and frameworks.
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Model Evaluation and Optimization: Evaluate models with relevant metrics; conduct error analysis, hyperparameter tuning, and calibration to maximize accuracy and efficiency.
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Deployment and Monitoring: Deploy models to production and establish scalable, reliable inference pipelines; instrument monitoring for performance, drift, and data quality to ensure SLAs are met.
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Communication and Collaboration: Communicate findings and recommendations to stakeholders; collaborate with engineers and other data scientists to deliver and operationalize AI solutions.
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Research and Innovation: Stay current with advances in AI/ML; experiment with new techniques to enhance existing models and develop novel solutions.
WHAT YOU BRING:
You have a track record of shipping production-grade data systems that are reliable, observable, and cost-efficient. You communicate clearly with both technical and non-technical stakeholders and turn ambiguous requirements into well-defined data products. You value ownership, code quality, and continuous improvement, mentoring peers and elevating standards.
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7 - 12 years of hand-on experience as Data Scientist or similar
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Educational Background: Master’s or PhD in Data Science, Artificial Intelligence, Machine Learning, Computer Science, Statistics, or a related field preferred.
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Technical Skills:
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Strong proficiency in Python (Pandas, NumPy, Scikit‑learn)
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Solid foundation in statistics, probability, and machine learning
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Experience with SQL and structured data analysis
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Hands‑on experience with data visualization and storytelling Experience working in notebooks (Jupyter, Databricks).
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Deep learning frameworks (TensorFlow or PyTorch)
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Analytical Skills: Strong analytical mindset with the ability to interrogate complex datasets and translate findings into clear, actionable insights.
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Soft Skills: Excellent communication to explain technical concepts to non-technical stakeholders, coupled with strong problem-solving and collaboration skills.
WHERE YOU BELONG
Our Go-To-Market Services for Marketing team as part of the Customer & Partner unit within the global Corporate Processes & Information Technology (CPIT) Organization is responsible for the design, implementation and operations of IT solutions, supporting SAP’s core business processes mainly in Marketing and closely interacting with respective LoBs. Here, we act as the Businesses trusted advisor and expert, driving together the simplification, harmonization, and intelligence of business processes. We enable solutions for the Demand-to-Lead process area with the adoption of state-of-the-art solutions embracing innovation as well as new technologies to achieve higher effectiveness.
Besides our day-to-day business we are passionate about technology and always looking for new options to improve the way we work and deliver value to business. You want to make a difference – join us today!
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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: 447259 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid