Note: The job is a remote job and is open to candidates in USA. Cotality is a leading company in property intelligence, committed to making the property industry faster and smarter. The Senior Geospatial Data Scientist will play a key role in advancing the capabilities of Cotality's geocoding product, working within a cross-functional team to provide high-quality address standardization and geocoding services.
Responsibilities
- 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
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
- 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
- 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
Benefits
- Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
- Up to 16 weeks of fully paid parental leave and a baby stipend.
- Multiple medical plan options with mental health and wellness support offerings.
- 401(k) with company match and vesting after one year.
- $400 annual well-being stipend and tuition assistance up to $5,250.
- Recognition Rewards, Referral bonuses, exclusive discounts and more!
- Flexible working model
- Tuition assistance up to $5,250.
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