CH
Chris Heilmann
Dev Digest 137 - AI'm not sure about this
almost 2 years ago
Data Scientist
Robotics Technologies LLC
Lathrop, CA, United States
3 months ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Information Engineering
Python (Programming Language)
Data Processing
Large Language Models
Pandas
Matplotlib
Statistics Packages
Plotly
Job description
This project focuses on creating a high-quality dataset of visualizations specifically for LLM training. Key sub-tasks include generating intentionally poor visualizations, replicating dashboards from provided images, evaluating insights derived from visualizations, and crafting effective prompts for visualization generation. Data scientists will leverage Python libraries like pandas, matplotlib, plotly, bokeh, and dash to handle data wrangling, build visualizations, and perform data engineering tasks. Some tasks will need access to the Gemini-2.5-Pro model.
Requirements
Do you have experience in Statistical analysis tools?
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Prepare application
- Draft this with your agent
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Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlists9:52 min
Live Matplotlib rendering and data plotting within Deepnote environments
Radovan Kavický · LIVE
2:56 min
Leveraging domain-specific frameworks and RAPIDS for data science
Paul Graham · World Congress 2025
2:28 min
Identifying root causes through global and local SHAP plots
Bernhard +1 · World Congress 2025
2:03 min
Accelerating pandas dataframes using cudf module plugins
Ankit Patel · World Congress 2024
3:33 min
Refactoring data science workflows using Rapids QDF and Pandas
Paul Graham · LIVE
2:24 min
Setting up Python libraries and sourcing initial datasets
Lutske van der Meer · World Congress 2024
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