5 geospatial data scientist jobs at 4 companies in Oak Forest, IL
2w
Save
Mark Applied
Hide
2w
Data Scientist
Chicago or Fairfield or Houston or California or Mountain View or Cheshire or Jacksonville or Tallahassee or Tampa or Jersey City or Marlton or Cincinnati or Sheboygan or Florida or Illinois or New Jersey or Ohio or Wisconsin
OnsiteFull Time
SageSure: Private managing general underwriter providing catastrophe-exposed home, flood, and commercial insurance for homeowners and small businesses.
5+ YOEBachelor's degree in a quantitative discipline and 5–7 years of data science, analytics, software development, or geospatial analytics experience; Python, SAS or R, SQL, relational databases, and GIS required.
Boulder or New York City or Arlington or Austin or Chicago or Philadelphia or Atlanta or Boston
$89k-$148k/yrOnsiteFull Time
Guidehouse: Global consulting firm serving public and commercial sectors.
1+ YOEBachelor's degree and 1+ years applying data analytics; experience with Python, R, SQL, Databricks, Snowflake, Power BI, Tableau, or GIS; utility sector experience preferred.
Python, R, Snowflake, SQL, Databricks, Power BI, GIS, Tableau
HERE Technologies: Privately held mapping and location-data platform serving automakers, logistics firms, mobility providers, and technology brands.
5+ YOEMaster's or PhD in statistics/math/computer science or related field; 5+ years experience; expertise in sampling, experimental design, machine learning, Python and SQL; strong communication skills.
HERE Technologies: Privately held mapping and location-data platform serving automakers, logistics firms, mobility providers, and technology brands.
5+ YOEMaster's or PhD in quantitative field, 5+ years experience, expertise in sampling, experimental design, ML, Python and SQL, GIS, and strong communication skills.
Senior Scientist - Hurricane Model Developer, Impact Forecasting
Chicago or Boston
$100k-$130k/yrHybridFull Time
AonNYSE: AON: Global professional services firm providing risk, insurance, and human capital solutions.
Master's or PhD in a relevant science or equivalent experience, experience developing or enhancing catastrophe/risk models, strong quantitative and data skills, programming in Python/MATLAB/R, SQL and geospatial tool experience.