
Data Scientist
Responsibilities
Qualifications & Requirements
Experience Level: Senior Level
Full Job Description
SAP is seeking a Data Scientist to join our team in Gurgaon, India. In this role, you will be instrumental in the design, coding, testing, and quality assurance of software development within a dynamic team. You will be responsible for identifying and resolving issues in new and existing code, maintaining a high standard of attention to detail, reliability, and efficiency.
Key Responsibilities:
- Collaborate with a team of highly technical and motivated developers.
- Work effectively with geographically dispersed teams across different time zones.
- Contribute to the full development lifecycle of projects, encompassing both customer-specific and SAP-defined initiatives.
- Implement backlogs for both functional and non-functional requirements.
- Design, develop, deploy, and monitor efficient AI/ML modules to power complex business applications.
- Adhere to SAP's agile engineering practices and processes, taking ownership of code from ideation through development, QA, and support across the full stack.
- Engage with multiple topics and technologies, with opportunities for continuous learning and enablement.
What You Bring:
- A Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field, with demonstrated knowledge and experience in knowledge representation.
- A minimum of 4 years of industry experience in a Data Scientist role.
- A strong foundation in data science mathematics, including probability, statistics, and linear algebra.
- Extensive knowledge of various machine learning algorithms and concepts, with a focus on building predictive models and Generative AI.
- In-depth expertise in at least two of the following data science domains: Text Analysis and Natural Language Processing, Neural Networks and Deep Learning, Signal Processing, Image/Video Processing and Recognition, or Reinforcement Learning.
- Hands-on experience with computational packages such as Numpy, Scipy, Pandas, Scikit-Learn, StatsModels, Keras, and Tensorflow, along with visualization tools.
- Desirable DevOps knowledge, including CI/CD, Jenkins, and Pipeline Management.
- High proficiency in SQL and a good understanding of relational databases.
- Prior experience in deploying machine learning models into production environments.
- Experience working with GPUs for model development.
- Strong interpersonal and stakeholder management skills.
- Proven ability to articulate and explain complex technical concepts to diverse audiences in a simplified manner, both in writing and verbally.
- Strong written and verbal communication skills.
- Demonstrated ability to independently develop new concepts and stay current with academic research.
- Prior work experience with SAP BTP is desirable.
Join the SAP PCP Cross Technology and Architecture unit, a team dedicated to driving technology-driven innovations in business and people. As part of the global Private Cloud Products (PCP) organization, we are committed to delivering innovative solutions for our customers' unique business process needs in the Private Cloud. You will be joining a dynamic and passionate team focused on leveraging AI to enhance interactions between individuals and information. We cultivate a collaborative environment that encourages learning, growth, and diverse perspectives, offering opportunities to work with colleagues globally.
Company
SAP
SAP is a global leader in enterprise resource planning (ERP) software, driving business efficiency and insight for over four hundred thousand customers worldwide. With a rich history in ERP, SAP has e...