Sr. Data Scientist

Title : Data Scientist – LLM & GIS Systems

Location : Roseville, CA (Hybrid or Remote)

Type : Contract-to-Hire or Full-time

About LowPropTax

LowPropTax helps homeowners reduce property taxes using data-driven insights and automated appeals. We combine property data, geospatial analytics, and AI to identify over-assessed parcels and build automation pipelines for large-scale appeal filings.

Role Overview

You will design and build LowPropTax’s custom LLM and GIS intelligence stack from the ground up. This includes developing a proprietary language model for property data insights, creating geospatial overlays to visualize property inequities, and automating data workflows across counties.

Key Responsibilities

• Architect and train a custom LLM model using internal tax, assessor, and property datasets.
• Build and fine-tune inference pipelines for automated valuation, appeal reasoning, and evidence generation.
• Develop GIS-based mapping overlays integrating assessor parcels, zoning, and demographic data.
• Automate data ingestion pipelines from public APIs, CSVs, and assessor databases.
• Collaborate with engineering to integrate model outputs into production systems.
• Perform EDA and feature engineering on large, messy, cross-county property datasets.
• Evaluate LLM models for accuracy, explainability, and auditability in compliance contexts.

Requirements

Nice to Have

Why Join

You’ll help shape the intelligence core of a fast-growing proptech startup rooted in real impact — saving thousands of homeowners real money through automation and AI precision.