Sr. Data Scientist

6 days ago

India Stackle Full time

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.

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