FAQs
What is the main responsibility of the Senior Data Scientist role at SAP?
The main responsibility is to design, code, test, and ensure quality assurance within a development team, focusing on building and maintaining efficient AI/ML modules that drive complex business applications.
What skills are necessary for this position?
Necessary skills include a solid understanding of mathematics related to data science, extensive knowledge of machine learning algorithms, experience with frameworks like TensorFlow and PyTorch, proficiency in deploying scalable solutions, and strong analytical skills.
How many years of experience are required for the Senior Data Scientist position?
A minimum of 6 years of industry experience in a senior data scientist role is required.
Is experience with SAP BTP important for this role?
Yes, prior work experience with SAP BTP is desirable for this position.
What frameworks should a candidate be familiar with for machine learning model development?
Candidates should be familiar with frameworks such as TensorFlow, PyTorch, and Keras for developing and training advanced machine learning models.
What level of education is required for the Senior Data Scientist role?
A Bachelor’s or Master's degree in computer science, machine learning, data science, or related fields is required.
Are there any preferred skills for this position?
Yes, familiarity with big data processing frameworks such as Apache Spark and Hadoop, as well as DevOps knowledge including CI/CD and Jenkins, is preferred.
Does SAP offer support for diversity and inclusion in the workplace?
Yes, SAP fosters a culture of inclusion and is committed to ensuring that everyone feels included and can contribute their best.
What is the expected travel requirement for this role?
The expected travel for this role is between 0% to 10%.
Can you describe the team culture within the SAP PCP Cross Technology and Architecture unit?
The team culture is dynamic and passionate, emphasizing collaboration, learning, and growth, encouraging all team members to contribute ideas and perspectives.
Are there opportunities for continuous learning and professional development?
Yes, SAP has a strong focus on learning and development, providing employees with opportunities for personal growth and skill enhancement.
How does SAP ensure the ethical use of AI in its projects?
SAP is committed to the ethical and responsible use of AI, which includes understanding biases in data, ensuring privacy compliance, and promoting transparency and fairness in machine learning applications.
What kind of support is available for individuals with disabilities during the application process?
SAP provides accessibility accommodations to applicants with physical and/or mental disabilities and encourages them to reach out for support during the application process.