
Chief Data Strategist
4 days ago
Key Responsibilities:
- Design and develop high-quality visualizations using Python libraries (matplotlib, plotly, bokeh, dash).
- Replicate dashboards from existing images with precision and creativity.
- Perform data wrangling & engineering to prepare clean, structured datasets.
- Evaluate insights and transform them into actionable visual narratives.
- Collaborate with cross-functional teams to contribute to LLM training workflows.
- Write scalable, production-ready code with best practices.
Required Skills & Expertise:
- Strong hands-on expertise in Python (pandas, matplotlib, plotly, bokeh, dash).
- Proven experience in data wrangling & preprocessing.
- Advanced data visualization skills with a keen eye for design and insights.
- Solid foundation in data engineering workflows.
- Strong analytical reasoning and ability to translate data into meaningful insights.
- Prior experience working at Lead / Senior level, delivering production-grade solutions.
Benefits:
- Be part of a pioneering project in AI & LLM training.
- Work with state-of-the-art visualization & analytics tools.
- 100% remote flexibility with global collaboration.
- Opportunity to lead & innovate in a high-impact project.
About the Project:
This involves creating compelling visualizations, replicating dashboards from images, extracting insights, and designing prompts that fuel the next generation of AI-driven analytics.
We are working on an exciting initiative to build a cutting-edge dataset of visualizations for LLM training.
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