Assistant Director, Data Science
Boston, MA, United States
R
USD 130K-207K (estimate) Executive-level Full Time
Tasks
- Aggregate geospatial data
- Apply spatial data techniques
- Build geospatial big data infrastructure
- Build predictive models
- Conduct geospatial data science research
- Create geographic loss data
- Create loss cost models
- Customize analytic solutions for clients
- Develop geospatial risk segmentation models
- Guide project design as technical consultant
- Identify third party geospatial data sources
- Leverage spatial machine learning
- Test statistical significance hypotheses
- Translate geographic data into pricing factors
Perks/Benefits
Skills/Tech-stack
AWS | Amazon EC2 | Amazon S3 | Big Data | Cartography | Casualty insurance | Cost modeling | DBT | Data Analysis | Data Science | Exploratory Data Analysis | Exposure data | Generalized Linear Models | Geographic Data | Geographic Data Science | Geographic Loss Data | Geopandas | Geospatial Big Data | Geospatial Data | Geospatial Data Science | Gradient Boosting Machines | Gradient boosting | Linear Models | Loss Data | Loss cost modeling | MLOps | Machine Learning | NumPy | Pandas | Predictive Modeling | Premium Data | Property & Casualty | Property/Casualty Insurance | Python | SQL | Snowflake | Spatial Data Analysis | Spatial Machine Learning | Spatial Statistics | Spatial data | Statistical Analysis | Unit Testing
Education
Regions
Countries
States
Cities
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