Data Scientist

4 - 6 years

9 - 14 Lacs

Posted:1 hour ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Summary:

We are seeking a highly skilled Data Scientist with deep expertise in Tableau, geospatial analytics, forecasting, and spatial data modeling. The ideal candidate will have hands-on experience working with native and custom maps, PostGIS, geopandas, and CARTO, enabling advanced insights through location intelligence, predictive modeling, and KPI-driven dashboards.

 

Required Skills & Qualifications:
  • 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.

 

Good to Have:
  • 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.

 

Roles and Responsibilities
Key Responsibilities:
  • 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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