Master’s Scholarship Recipient – Data Science, People Analytics
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Job Description
Cientista de Dados em People Analytics desenvolvendo modelos de recomendação e ranqueamento para recrutamento no ICT Itaú. Preparação, avaliação, implantação e governança de modelos com foco em LGPD e fairness.
Responsibilities:
- Map business rules, define success criteria, and identify regulatory requirements (LGPD)
- Map data sources, assess quality and representativeness, identify historical biases, and verify reliable labels
- Build the training dataset, anonymize data in compliance with LGPD, generate features, and address bias
- Implement and train the model
- Measure technical quality and make business go/no-go decisions
- Integrate the model into a human-in-the-loop workflow
- Document for auditing, continuously monitor, and maintain governance with a rollback plan
- Develop an innovation project for ICT Itaú in partnership with Inova Talentos
Requirements:
- Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field, with the degree completed
- Experience with machine learning and recommendation/ranking models
- Data manipulation, integration, and preparation using Python, SQL, or similar tools
- Exploratory analysis, feature engineering, and model evaluation
- Definition of success metrics and development of analytical MVPs
- Understanding of LGPD, bias mitigation, and explainability applied to sensitive decisions
- Experience with People Analytics or HR data and recruiting processes
- Fairness evaluation (gender/race/age) and bias mitigation techniques
- Monitoring of model drift, auditing, and governance for models in production
- Execution of controlled pilots with online evaluation (effort and quality)
- Degree in progress or completed
Benefits:
- Scholarship stipend: BRL 9,000.00
- Fully remote work
- Availability for 40 hours per week
- 12-month duration
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