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

• 3+ years in data science, AI, or applied ML.
• Deep understanding of LLMs, embeddings, and transformer architectures (not wrappers like GPT APIs).
• Experience with PyTorch, Hugging Face, LangChain (core only), and vector databases.
• Proficiency in Python, SQL, and geospatial tools (GeoPandas, Shapely, PostGIS, Mapbox).
• Experience with data pipelines and MLOps (Airflow, Prefect, MLflow).
• Comfort working with county property, parcel, or tax datasets is a plus.
• Strong problem-solving and autonomy.

Nice to Have

• Prior experience with public records, real estate analytics, or valuation models.
• Experience in cloud environments (AWS, GCP) with scalable model training setups.
• Familiarity with OCR pipelines for document parsing.

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.