Sr. data scientist

7 days ago

Delhi, India Stackle Full time

Title: Data Scientist – LLM & GIS SystemsLocation: Roseville, CA (Hybrid or Remote)Type: Contract-to-Hire or Full-timeAbout Low Prop TaxLow Prop Tax 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 OverviewYou will design and build Low Prop Tax’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 Py Torch, Hugging Face, Lang Chain (core only), and vector databases.- Proficiency in Python, SQL, and geospatial tools (Geo Pandas, Shapely, Post GIS, 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 JoinYou’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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