Data Scientist

MACHINE LEARNING TECHNOLOGIES LLC; Lathrop (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Lathrop, CA is seeking a Data Scientist for a 12-month+ engagement to build, evaluate, and prompt- design visualizations for LLM training. You will manipulate data with Python libraries such as pandas, matplotlib, plotly, and dash, and work on dashboards and visualization replication tasks.

Some tasks may need access to the Gemini-2.5-Pro model, and work will span data wrangling, engineering, and visualization generation in a fast-paced project environment.

Qualifications

• Proficiency in Python and data visualization libraries.
• Experience with data wrangling and building visualizations.

Responsibilities

• Create high-quality visualization datasets for LLM training.
• Generate intentionally poor visualizations for benchmarking.
• Replicate dashboards from provided images.
• Evaluate insights from visualizations.
• Craft prompts for visualization generation.
• Utilize Python libraries (pandas, matplotlib, plotly, bokeh, dash) for data wrangling and visualization building.
• Some tasks require access to Gemini-2.5-Pro model.

Skills

Python

Pandas

Plotly

Matplotlib

Dash

Job description

Job Overview

• Job ID: J53218
• Job Title: Data Scientist
• Location: Lathrop, CA
• Duration: 12 Months + Extension
• Domain Exposure: Banking & Finance, Telecom, IT/Software
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Job Description

About the Role: 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.

Equal Opportunity Employer

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.