Data Scientist

Machine Learning Technologies, LLC; Lathrop (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC seeks a data visualization specialist to build a high-quality dataset of visualizations for LLM training. You will generate intentional poorly designed visuals, replicate dashboards from reference images, and evaluate insights to improve prompt design for visualization generation.

Ideal candidates have strong Python data science skills and experience with data wrangling, visualization libraries, and dashboard frameworks to support data engineering tasks.

Qualifications

• Experience with data visualization and data wrangling.
• Strong Python programming skills for data processing and visualization.
• Ability to translate visualization requirements into actionable datasets and dashboards.

Responsibilities

• Create a high-quality dataset of visualizations for LLM training.
• Generate intentionally poor visualizations as part of quality assessment.
• Replicate dashboards from provided images to validate rendering fidelity.
• Evaluate insights derived from visualizations to inform prompts and guidance for visualization generation.
• Craft effective prompts for automated visualization generation.

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 willleveragePython 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.

I'm interested in getting to know you better and introducing our company to you.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.