Land.com - Senior Data Scientist

CoStar GroupAustin, TX
Onsite

About The Position

We are seeking a Senior Data Scientist to lead development and expansion of AcreValue’s predictive land valuation models and to help build the foundation for future AI-driven capabilities within the platform. This role will focus primarily on expanding AV+ parcel-level land valuation and predictive modeling capabilities in collaboration with internal engineering and product teams. The ideal candidate combines strong econometric and statistical modeling skills with geospatial data expertise, and can design models that are interpretable, defensible, and explainable to both technical and non-technical stakeholders. Equally important is the ability to independently research complex problems, investigate economic, geospatial, and environmental factors influencing land valuation, identify relevant datasets, evaluate modeling approaches, and translate findings into practical production models. This role will work closely with engineering teams to operationalize valuation modeling workflows and scalable prediction processes, while contributing technical expertise toward the platform’s future AI initiatives, including natural language parcel search and AI-driven land insights. This role is located in our Austin office and has a schedule of 5 days on-site.

Requirements

  • Bachelor's degree required from an accredited, not-for-profit, in-person college/university
  • A track record of commitment to prior employers.
  • Experience building statistical or econometric models in Python for real-world predictive applications
  • Experience working with large geospatial datasets and spatial data concepts, including vector and raster formats, coordinate systems, and spatial joins

Nice To Haves

  • Advanced degree in Economics, Data Science, Agricultural Economics, Statistics, Geospatial Science, Applied Mathematics, or Computer Science
  • Experience with Python geospatial libraries such as GeoPandas, Shapely, GDAL, or Rasterio
  • Experience working with spatial databases such as PostGIS or MongoDB with geospatial queries
  • Experience with parcel data, land cover datasets, satellite imagery, or soil and cropland data layers
  • Background in agricultural economics, farmland valuation, or real estate valuation
  • Experience deploying data science or machine learning systems in cloud environments such as AWS
  • Familiarity with GIS tools such as QGIS

Responsibilities

  • Design, develop, and maintain parcel-level land valuation and predictive models used across the AcreValue platform
  • Research and expand valuation methodologies across diverse geographies and land types using geospatial, economic, and environmental data
  • Develop statistical and econometric models that are transparent, defensible, and explainable to both technical and non-technical stakeholders
  • Research land-use, economic, environmental, and geospatial factors influencing land values and incorporate findings into production predictive modeling approaches
  • Identify and prototype new datasets and model features prior to engineering implementation
  • Define and implement model evaluation, validation, and monitoring frameworks
  • Partner with engineering teams to operationalize valuation modeling workflows models, including training, prediction generation, validation and retraining processes
  • Contribute to research, prototyping, and technical evaluation of AI-driven land intelligence capabilities

Benefits

  • Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
  • Life, legal, and supplementary insurance
  • Virtual and in person mental health counseling services for individuals and family
  • Commuter and parking benefits
  • 401(K) retirement plan with matching contributions
  • Employee stock purchase plan
  • Paid time off
  • Tuition reimbursement
  • On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes
  • Access to CoStar Group’s Employee Resource Groups
  • Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks
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