Data Science Expert, Customer Data Hub (f/m/d)
Walldorf, DE, 69190
We help the world run better
At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.
Opportunity Overview:
Join us as a Data Science Expert where you will play a pivotal role in making cross-customer data available to your colleagues throughout the organization and building high-impact models & benchmarks. This position is ideal for those who excel at the intersection of development, data science, and strategic business decision-making.
What You Will Do:
- Act as the "voice of the customer" within our product team, ensuring that all efforts deliver tangible value to data scientists.
- Challenge Product Managers/Owners and developers to create features that simplify the lives of data scientists at SAP.
- Vet high-value use cases with our product lines of business using your experience and intuition to prioritize data areas and use cases.
- Probably the most exciting part: Participate in 1-3 projects per year, hands-on, helping to build data pipelines, scripts, and train models, plus support deployments to stay connected with business operations.
- Evangelize our products to other data scientists, demonstrating how you utilize them. Note: this does not involve extensive content creation as support is available.
What You Bring:
- Proven experience in integrating AI with enterprise software solutions.
- Experience in scoping, validating, developing, and deploying enterprise AI at SAP or other large tech companies.
- Demonstrated capability to lead cross-functional projects.
- Direct experience in engaging with senior stakeholders and managing complex team dynamics.
- Solid grasp of cloud computing frameworks and a commitment to upholding data privacy standards.
- Proficiency in English, both written and spoken.
- Strong skills in SQL for ETL and Python for ML development.
- Familiarity with Node.js, BTP development, Scala, R, Fiori is a plus.
Technical Skills You Will Acquire:
- Deep insights into the functionality of SAP products and their data-centric applications.
- Opportunities to drive high-value initiatives throughout our product landscape.
- Ownership of innovative products designed to enhance the efficiency and impact of your fellow data scientists.
Meet Your Team:
You will be joining an open and dynamic team that prioritizes rapid, hands-on value creation. Our culture emphasizes agility and the tangible impact of our collective efforts.
Why This Role Is Unique:
This role offers a unique blend of technical challenge and creative license, set within a vibrant professional community committed to transforming data into dynamic solutions.
This rewrite ensures that each section is direct and clearly outlines expectations, roles, and the environment, enhancing overall readability and attractiveness for potential candidates.
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 and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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.
Requisition ID: 394075 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | #LI-Hybrid #SAPBusinessAICareers
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Content creation Data pipelines ETL Excel Machine Learning Node.js Pipelines Privacy Python R Scala SQL
Perks/benefits: Career development Flex hours
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Intern jobs
- Open Lead Data Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Engineering Manager jobs
- Open Junior Data Engineer jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open LLMs-related jobs
- Open APIs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs