Heading
Newport Beach, CA
Internship
Hybrid
Intern
SAP is a global software company that provides innovative solutions for businesses. They are seeking a Data Scientist Intern to support their Customer and Competitive Market Intelligence group, focusing on enhancing customer experience measurement programs and delivering impactful insights. The role involves collaboration, data engineering, statistical analysis, and utilizing advanced models to drive SAP's corporate goals.
Apply NowResponsibilities
- Collaborating with cross-functional teams to gather requirements for data integrations.
- Developing and implementing project plans for data engineering, analysis and visualization based on the needs of internal stakeholders.
- Training and supporting teams on data usage and results interpretation best practices.
- Developing and maintaining data engineering and analytic processes to support XM program targeting, analysis requirements and program expansion.
- Running statistical analysis using methods like correlation, ANOVA, regression.
- Applying Large Language Models (LLMs), including prompt engineering, to synthesize key insights
- Working with transformer-based models (e.g., BERT, GPT) for natural language processing tasks
- Troubleshooting technical issues related to data and systems in the SAP data warehouse and data lake environments.
- Identifying areas for improvement and implementing changes to enhance the efficiency and functionality of data engineering and analysis processes
Qualification
Required
- Bachelor’s or Master’s degree in an analytical field like Data Science, Computer Science, Mathematics/Statistics, Business Analytics, Economics, Marketing, Finance, or Social Science.
- Prior experience in data mining, advanced data manipulation, statistical analysis, and LLM processing, working with cloud-based computing platforms and big data tools.
- Proficient in data engineering techniques, skilled in topic modeling and sentiment analysis of unstructured data, experienced in LLM prompt engineering to generate key insights from unstructured data, competence in statistical techniques such as correlation ANOVA, and regression, fluency in Python, SQL, Excel and PowerPoint.
- Strong problem-solving skills, including the ability to undertake analyses, synthesize findings/recommendations, articulate a storyline, and create and conduct high-impact presentations.
- Ability to work independently and manage multiple projects simultaneously.
- Superior interpersonal skills; ability to build relationships across SAP functional areas, geographies and hierarchical levels.
- Base understanding of the software industry and its competitive landscape.
- Highest level of flexibility, integrity, and confidentiality.
Preferred
- Experience with Databricks is helpful.
Benefits
- SAP North America Benefits