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Senior Geospatial Data Scientist (Address and Geocoding)

93 200 - 115 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Geospatial Data Scientist (Address and Geocoding) (Geospatial Data and Geocoding): Building and advancing an enterprise geocoding service handling billions of monthly requests with an accent on US address parsing, spatial verification, and precision engineering. Focus on developing confidence-scoring frameworks, benchmarking third-party geocoders, and taking geospatial experiments from Jupyter notebooks to production.

Location: Remote - United States

Annual pay range: USD 93,200–115,000

Company

Property intelligence company providing data, technology, and insights across the real estate ecosystem.

What you will do

  • Build robust systems for complex US address parsing, including rural routes, high-rise units, fractional addresses, non-postal locations, and alternative address representations.
  • Improve geolocation precision from postal and census centroids to parcel, rooftop, front-door, loading-dock, and drop-off points.
  • Develop spatial validation loops using contributor data and related terrestrial datasets.
  • Evaluate third-party geocoding services such as Google, Mapbox, and Overture Maps against in-house solutions.
  • Develop automated confidence-scoring frameworks to monitor the quality of addressing and geocoding data.
  • Prototype with open-source and cloud-native geospatial tools, evaluate data vendors, and collaborate with engineers to deliver production features.

Requirements

  • 5+ years of relevant experience in geospatial data science, addressing, or geocoding.
  • Mastery of USPS CASS/NCOA processes, TIGER data, the US postal system, road networks, US parcel data, and census data.
  • Hands-on coding in Jupyter notebooks using Python and SQL.
  • Experience with GeoPandas, Shapely, Proj, Kepler or Pydeck, Libpostal, and Valhalla.
  • Knowledge of spatial formats, PostGIS spatial SQL, GDAL, QGIS, REST APIs, JSON, Postman, and statistics fundamentals.
  • Must be based in the United States for this remote role.

Nice to have

  • Bachelor's degree or equivalent work history.
  • Experience with Apache Spark, Carto, or geospatial pattern-matching and recognition algorithms.

Culture & Benefits

  • Flexible working model with generous paid time off, 11 paid holidays, and 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.
  • 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, and discounts.
  • Inclusive environment supporting collaboration, creativity, initiative, and professional growth.

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