Master's Fellow – Senior Data Scientist, Asset Pricing and Monitoring

Sistema Fibra

Bolsista Mestre na ICT ITAÚ desenvolvendo modelos preditivos de precificação de ativos imobiliários. Integrando bases de dados e apoiando decisões de crédito com insights baseados em dados.

Posted 7/21/2026full-timeBrasília • 🇧🇷 BrazilSenior💰 R$9,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in real estate data analysis, predictive modeling, and valuation, with a strong foundation in statistics and mathematics. Ability to translate complex analyses into actionable insights for decision-making in asset management and sales.

Highest-signal resume keywords

Predictive Pricing ModelsReal Estate Asset ValuationMachine LearningStatistical AnalysisData Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingStatistical AnalysisMachine LearningTime Series MethodsData CleaningValue Driver CalibrationBacktestingClusteringValue Metrics DevelopmentMarket Economics

Soft Skills

Clear CommunicationAnalytical ThinkingDecision-Making

Certifications & Qualifications

Master's Degree

Industry Keywords

Real EstateAsset ManagementCorporate FinanceLiquidityRisk AssessmentEconomic Behavior

About the role

Key responsibilities & impact

Collect, clean and integrate internal and external real estate data sources.
Define and calibrate value drivers: location, liquidity, risk, and asset profile.
Develop predictive pricing (Mark-to-Market) models using machine learning and time series methods.
Validate models through backtesting and controlled tests, with iterative adjustment cycles.
Ensure continuous monitoring and regular updating of estimates.
Support credit, asset management, and sales decisions with data-driven insights.
Structure metrics and routines for pilot evolution and operationalization at scale.

Requirements

What you’ll need

Master's degree: pursuing or completed
Background in Statistics, Mathematics, Physics, or related fields.
Experience in real estate asset valuation and pricing.
Knowledge integrating market economics, applied statistics, and corporate finance.
Build value metrics (e.g., BRL/m², liquidity, absorption) and perform clustering by economic behavior.
Translate complex technical analyses into clear, actionable insights for executive decision-making.

Benefits

Comp & perks

Hybrid format – on-site every Monday and Thursday
Stipend: BRL 9,000
Availability: 40 hours per week
Duration: 12 months