Data Scientist
2 weeks ago
Job Title: Data Scientist
Experience: 4 to 8 years
Job Summary:
Strong expertise in Tableau, including advanced geospatial dashboards and forecasting models.
Hands-on experience building native Tableau maps and custom maps using QGIS, geoJSON, and spatial SQL.
Deep knowledge of geospatial technologies, including PostGIS, geopandas, and other spatial modeling tools.
Proven experience with CARTO integration for geospatial analytics and risk assessment.
Proficiency in Python or R for data manipulation and analytical model development.
Strong understanding of data modeling, ETL processes, and statistical techniques.
Excellent analytical thinking and communication skills to convert complex data into actionable insights.
Experience in machine learning, predictive modeling, or time-series analysis.
Background in risk modeling, logistics, mobility analytics, or territory planning.
Cloud experience (AWS, GCP, Azure) with geospatial services or data lakes.
Develop advanced Tableau dashboards, including geospatial visualizations, forecasting models, and KPI-driven insights.
Build custom geospatial solutions using QGIS, geoJSON, shapefiles, and spatial SQL.
Work extensively with PostGIS, geopandas, and spatial modeling to support complex geospatial analyses.
Integrate CARTO with Tableau for enhanced location intelligence and risk analysis use cases.
Analyze large geospatial datasets to identify patterns, trends, and predictive opportunities.
Collaborate with cross-functional teams to translate business problems into analytical solutions.
Build and validate forecasting models, risk scoring models, and spatial clustering analyses.
Ensure data accuracy, integrity, and performance across analytical workflows.
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