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Data Scientist
Virtusa
Bengaluru, IND
Full-time
Senior · 10+ years experience
Onsite
Discovered 3 weeks ago
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Role Overview
We are seeking a Technical Product Lead – Data Scientist to build and lead an AI-powered analytics platform focused on location intelligence, geospatial AI, and advanced data science capabilities. This hands-on senior role combines deep technical expertise with a product mindset to develop production-grade machine learning models, AI agents, geospatial frameworks, and data pipelines that enable data-driven decision-making at scale. The role collaborates closely with engineering, product, and design teams to deliver scalable AI solutions for portfolio analysis, site selection, market intelligence, cost modeling, and sustainability scoring.
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Full Job Posting
Job Summary
We are seeking a Technical Product Lead – Data Scientist to build and lead an AI-powered analytics platform focused on location intelligence, geospatial AI, and advanced data science capabilities. This hands-on senior role combines deep technical expertise with a product mindset to develop production-grade machine learning models, AI agents, geospatial frameworks, and data pipelines that enable data-driven decision-making at scale. The role collaborates closely with engineering, product, and design teams to deliver scalable AI solutions for portfolio analysis, site selection, market intelligence, cost modeling, and sustainability scoring.
Key Responsibilities
- Design and develop geospatial models for location scoring, market positioning, demographic analysis, and spatial intelligence. Build AI-powered location intelligence capabilities to provide real-time market insights and portfolio recommendations. Develop and maintain scalable geospatial data pipelines for property data, demographic information, transportation networks, and ESG indicators. Implement map-based features including property visualization, clustering, search, filtering, and spatial data overlays. Evaluate, onboard, and manage third-party geospatial and market data sources. Design, train, validate, and deploy machine learning models supporting cost optimization, sustainability, talent accessibility, market
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