Key Responsibilities
- Contribute to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows.
- Work with structured and unstructured datasets to support data preparation, analysis, and model-related workflows.
- Develop and maintain data pipelines to support data science tasks and AI system evaluation.
- Collaborate with cross-functional teams to identify and address data-related challenges and opportunities.
- Stay up-to-date with emerging trends and technologies in data engineering and data science.
- Participate in code reviews and contribute to the development of high-quality, production-ready code.
Requirements
- Strong foundations in data engineering and data science, with experience working with production-like datasets and data pipelines.
- Proficiency in programming languages such as Python, Java, or C++, and experience with data science libraries and frameworks.
- Excellent problem-solving skills, with the ability to analyze complex data-related challenges and develop effective solutions.
- Strong communication and collaboration skills, with experience working with cross-functional teams.
- Experience with data visualization tools and techniques, and the ability to communicate complex data insights to non-technical stakeholders.