Senior Geospatial Data Scientist – Address, Geocoding

This is a fully remote position, open to applicants in United States.

📋 Description

• Propel Cotality’s premier enterprise geocoding product that underpins property and location intelligence solutions.

• Create resilient systems to navigate complex US addressing scenarios.

• Establish methods to enhance geolocation accuracy from broad areas down to parcel, rooftop, front-door, loading-dock, and drop-off-point specifics.

• Formulate spatial validation loops utilizing contributor data and terrestrial datasets.

• Assess and compare third-party geocoding services with internal solutions.

• Advance automated confidence-scoring frameworks for addressing and geocoding data quality.

• Implement improvements to enhance geocoding precision, clarity, and timeliness.

• Engage in practical experiments with open-source, cloud-native geospatial tools.

• Work collaboratively with engineering to transition features from concept to production.

• Assess data vendors alongside the in-house data acquisition team.

• Promote internal and external awareness regarding address hygiene.

⛳️ Requirements

• Expertise in USPS CASS/NCOA processes, TIGER data, and the intricacies of the US postal system.

• Experience with commercial and publicly accessible road network datasets.

• Understanding of US land parcel data and its correlation with addresses.

• Familiarity with Census data.

• Over 5 years of pertinent experience.

• Capability to prototype and showcase ideas through hands-on coding in a Jupyter notebook-oriented setup.

• Proficiency in Python and SQL.

• Experience with geospatial, address, and routing-centric Python libraries.

• Familiarity with GeoPandas, Shapely, Proj, Kepler/Pydeck, Libpostal, and Valhalla.

• Understanding of spatial data formats such as shapefiles, GeoJSON, GeoParquet, and FGB.

• Knowledge of PostGIS spatial SQL.

• Proficiency with GDAL command-line tools.

• Experience using QGIS.

• Working knowledge of REST APIs, JSON structures, and Postman.

• Fundamentals of statistics.

• Bachelor’s degree or equivalent professional experience (preferred).

• Some familiarity with Apache Spark or another Big Data stack (preferred).

• Experience with cloud-based spatial analytics platforms like Carto (preferred).

• Knowledge of geospatial pattern matching/recognition algorithms (preferred).

🏝️ 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.