Data Scientist

Quantum Technologies. LLC; Lathrop (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Quantum Technologies LLC, based in Lathrop, California, seeks a data scientist to build high-quality visualization datasets for LLM training. You will generate intentionally poor visualizations, replicate dashboards from images, evaluate insights, and craft prompts for visualization generation using Python libraries such as pandas, matplotlib, plotly, bokeh, and dash.

You will work with data wrangling and data engineering tasks, leveraging Gemini-2.5-Pro for select tasks.

Qualifications

• Strong Python programming experience with data manipulation and visualization
• Experience building datasets and dashboards for ML/LLM training
• Familiarity with Pandas, Matplotlib, Plotly, Bokeh, Dash in Python
• Ability to evaluate visualization insights and craft prompt templates

Responsibilities

• Create high-quality visualization datasets for LLM training
• Replicate dashboards from provided images and prompts
• Evaluate insights from visualizations to inform prompts
• Develop and refine prompts for automated visualization generation

Skills

Python

Data wrangling

Visualization design

LLM data prep

Tools

Pandas

Matplotlib

Plotly

Bokeh

Dash

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.