Data Science and Analytics Intern
vor 4 Wochen
As a Data Science and Analytics Intern on the SAP Enterprise Adoption iXp, you will help define and design research methodologies for capturing key goals and targets. You will develop prompt engineering best practices and quality workflows, improve quality initiatives by applying data science methodologies, and design experiments to measure usage and apply rigorous analysis to support data-driven decisions.
Key Responsibilities:
- Help define and design research methodologies for capturing key goals and targets.
- Develop prompt engineering best practices and quality workflows.
- Improve quality initiatives by applying data science methodologies.
- Design experiments to measure usage and apply rigorous analysis to support data-driven decisions.
- Continual refinement of aspects of new AI tools.
- Measuring adoption of the tools and services our organization offers.
- Designing and testing dashboards for presentation of our research, KPIs, etc.
Requirements:
- Working with different data sources such as SQL, Node, Elasticsearch, and knowledge graphs.
- Knowledge of Python, R, and other tools used for statistical analysis.
- Comfortable working with scripting languages.
- Experience working with Java and JavaScript.
- Good understanding of object-oriented programming.
- Studying Computer Science, Mathematics, or Engineering.
- Fluent in English.
- Good organizational skills.
- Comfortable working with tight deadlines and multiple projects.
- Comfortable working both independently and within a team dynamic.
About SAP:
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.
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