Dime Line Trading is hiring a Data Scientist to build and scale its data foundation, working closely with trading, research, and engineering stakeholders to organize, analyze, and leverage data to support trading and research.
Requirements
- Audit, organize, and document existing data sources
- Clean, structure, and transform data to make it accessible, reliable, and scalable
- Design and maintain data pipelines and workflows
- Build, test, and iterate on predictive models
- Partner with internal teams to understand trading and development initiatives
- Create clear analyses, visualizations, and summaries to communicate findings and model results
- Help establish best practices around data quality, versioning, documentation, and reproducibility