Senior Geospatial Data Scientist (Address and Geocoding)

At Cotality, we are driven by a single mission-to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.

Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.

Job Description:

The Product You Will Help Advance

You will play a strategic role in advancing the capabilities of Cotality's flagship geocoding product. The enterprise geocoder is a core service that supports almost all of our property and location intelligence products, and serves billions of requests per month from external and internal customers.

The Team You Will Join

You will join a cross-functional team of product managers, geospatial data scientists, software engineers and architects engaged in the mission of providing best in class address standardization and geocoding services to our external and internal customers.

Job Responsibilities:

The Work You Will Do:

• Complex Parsing: Build robust systems to handle the nuances of US addressing, including rural routes, high-rise secondary units, fractional addresses, non-postal locations, multiple valid address representations, and vanity address components.

• Precision Engineering: Innovate new mechanisms to transition geolocation precision from areal (e.g., Postal, Census centroids) to specific (e.g., Parcel, Rooftop centroids) to differentiated (e.g., Front Door, Loading Dock, Drop-Off Points, etc.).

• Spatial Verification: Develop validation loops using multiple contributor data sources to verify that geocoded points link to other terrestrial datasets which link back to the original geocoded points.

• Spot Verification: Evaluate and benchmark third-party geocoding services (e.g., Google, Mapbox, Overture Maps, etc.) vs. in-house builds to validate consistency and/or differentiation.

• Quality Frameworks: Evolve automated "confidence" scoring systems to measure and report on the "health" of our addressing and geocoding data over time.

• Ideate, iterate and implement enhancements to the geocoding stack to unlock higher accuracy, explainability and currency

• Perform hands-on experimentations using modern open-source, cloud native geospatial tools, and collaborate with engineering team to take features from idea to production

• Data Licensing Evaluations: Work with in-house data acquisition team to evaluate data vendors to ensure we are using best in class data while remaining competitive

• Evangelism: Drive awareness and education of address hygiene internally within the company as well as to externally to customers

Job Qualifications:

The Skills and Experience You Bring To The Table

Domain Skills:

• Mastery of USPS CASS/NCOA processes, TIGER data, and the nuances of the US postal system

• Experience of working with commercial as well as publicly available road networks datasets

• US land parcel data and relationship to addresses

• Census data

• 5+ years of relevant experience

Technical Skills

Must Have:

• Be able to prototype and demonstrate ideas through hands-on coding in a Jupyter notebook oriented environment

• Python and SQL coding skills are a must

• Emphasis on geospatial and address and routing focused on Python libraries
• Geopandas, Shapely, Proj, Kepler/Pydeck

• Libpostal

• Valhalla

• Spatial data formats
• Legacy formats such as shapefiles

• Modern formats such as geojson, geoparquet, fgb

• PostGIS spatial SQL

• GDAL command line tools

• QGIS

• Working knowledge of REST APIs, JSON structures, PostMan

• Statistics fundamentals

Nice To Have:

• Bachelor's Degree or Equivalent Work History

• Some experience with a BigData stack such as Apache Spark

• Cloud based spatial analytics platforms such as Carto

• Geospatial pattern matching/recognition algorithms

#LI-Remote

Annual Pay Range:

93,800 - 115,000 USD

Application Window:

This opportunity is expected to remain posted through the date identified below, subject to business needs.

2026-04-27

Thrive with Cotality

At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth