Senior Geospatial Data Scientist – Address, Geocoding

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Cotality

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏠 Real Estate

🛡️ Insurance

💳 Fintech

💰 $1.6M Venture Round - Cotality on 2016-07

Real Estate • Insurance • Fintech

Cotality is a property intelligence company that provides comprehensive, AI-ready property and location data, analytics, and enterprise software to support decision-making across real estate, lending, insurance, government, and related industries. Its platform includes broad property-level datasets, cloud and marketplace integrations (Databricks, Google Cloud, Snowflake), the Model Context Protocol (MCP) connector, and product suites for valuation, loan origination and servicing, claims and catastrophe modeling, tax, restoration, and listing management. Cotality emphasizes machine learning and forward-looking risk analytics to power underwriting, portfolio monitoring, site selection, and operational workflows for banks, insurers, real estate professionals, and public sector users.

📋 Description

• Advance Cotality’s flagship enterprise geocoding product supporting property and location intelligence products • Build robust systems for complex US addressing scenarios • Develop mechanisms to improve geolocation precision from areal to parcel, rooftop, front-door, loading-dock, and drop-off-point levels • Develop spatial validation loops using contributor data and terrestrial datasets • Evaluate and benchmark third-party geocoding services against in-house solutions • Evolve automated confidence-scoring frameworks for addressing and geocoding data quality • Implement enhancements to improve geocoding accuracy, explainability, and currency • Conduct hands-on experiments with open-source, cloud-native geospatial tools • Collaborate with engineering to take features from ideation through production • Evaluate data vendors with the in-house data acquisition team • Drive internal and external awareness of address hygiene

🎯 Requirements

• Mastery of USPS CASS/NCOA processes, TIGER data, and nuances of the US postal system • Experience working with commercial and publicly available road network datasets • Knowledge of US land parcel data and its relationship to addresses • Knowledge of Census data • 5+ years of relevant experience • Ability to prototype and demonstrate ideas through hands-on coding in a Jupyter notebook-oriented environment • Python and SQL coding skills • Experience with geospatial, address, and routing-focused Python libraries • Experience with GeoPandas, Shapely, Proj, Kepler/Pydeck, Libpostal, and Valhalla • Knowledge of spatial data formats including shapefiles, GeoJSON, GeoParquet, and FGB • PostGIS spatial SQL • GDAL command-line tools • QGIS • Working knowledge of REST APIs, JSON structures, and Postman • Statistics fundamentals • Bachelor's degree or equivalent work history (nice to have) • Some experience with Apache Spark or another Big Data stack (nice to have) • Experience with cloud-based spatial analytics platforms such as Carto (nice to have) • Geospatial pattern matching/recognition algorithms (nice to have)

🏖️ Benefits

• Generous PTO and 11 paid holidays • Well-being and volunteer time off • Up to 16 weeks of fully paid parental leave • Baby stipend • Multiple medical plan options • Mental health and wellness support offerings • 401(k) with company match and vesting after one year • $400 annual well-being stipend • Tuition assistance up to $5,250 • Recognition Rewards • Referral bonuses • Exclusive discounts • Flexible working model • Competitive salary and benefits package • Professional growth opportunities