Master's Scholarship Recipient – Data Science, People Analytics

Sistema Fibra

. Map business rules, define success criteria, and identify regulatory requirements (LGPD) .

Posted 10/15/2026full-timeRemote • BrazilMid-LevelSenior💰 R$9,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning, data manipulation, and compliance with LGPD regulations, while effectively managing bias mitigation and model governance in production environments.

Highest-signal resume keywords

Machine Learning ExperienceData Manipulation Using PythonKnowledge of LGPDBias Mitigation TechniquesModel Evaluation and Monitoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ManipulationFeature EngineeringModel EvaluationExploratory AnalysisSQLPythonRecommendation ModelsRanking ModelsData Preparation

Certifications & Qualifications

Master's Degree in Data Science

Industry Keywords

LGPDBias MitigationFairness AssessmentPeople AnalyticsHR DataGovernanceAuditHuman-in-the-Loop WorkflowControlled PilotsSuccess Metrics

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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 accordance with LGPD, generate features, and address biases
Implement and train the model
Measure technical quality and make the business go/no-go decision
Integrate the model into a human-in-the-loop workflow
Document for audit purposes, continuously monitor, and maintain governance with a rollback plan
Participate in an ICT Itaú innovation project in partnership with Inova Talentos

Requirements

What you’ll need

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
Defining success metrics and building analytical MVPs
Knowledge of LGPD, bias mitigation, and explainability applied to sensitive decisions
Experience with People Analytics or HR data and recruitment processes
Fairness assessment (gender/race/age) and bias mitigation techniques
Monitoring drift, auditing, and governing models in production
Conducting controlled pilots with online evaluation (effort and quality)
Availability to work 40 hours per week

Benefits

Comp & perks

Scholarship stipend: BRL 9,000.00
Remote work
40-hour workweek
Duration: 12 months