remote
Real Estate Data Scientist - Harbor Freight Tools
Data Scientist
Develop advanced analytical and geospatial models to guide real estate site selection, network optimization, and market forecasting, collaborating with finance, marketing, and supply chain teams.
About the role
Key Responsibilities
- Design and implement predictive models for site selection, sales forecasting, and market potential using machine learning and statistical techniques.
- Build and maintain geospatial data pipelines, integrating GIS datasets, satellite imagery, and demographic information.
- Perform spatial analyses and geostatistical modeling to evaluate trade areas and optimize network performance.
- Collaborate with Real Estate, Finance, Marketing, and Supply Chain stakeholders to translate insights into actionable business strategies.
- Develop dashboards and visualizations that communicate complex findings to non‑technical audiences.
Requirements
- Strong proficiency in Python and SQL for data manipulation, modeling, and automation.
- Experience with machine learning frameworks (e.g., scikit‑learn, TensorFlow) and statistical modeling.
- Hands‑on expertise in GIS tools (e.g., ArcGIS, QGIS) and geospatial analysis techniques.
- Background in data engineering, including ETL processes and handling large spatial datasets.
- Ability to synthesize analytical results into clear business recommendations.
Skills
pythonsqlmachine learning