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

Use this summary to align your resume positioning with the role.

Demonstrates expertise in machine learning, data manipulation, and compliance with LGPD regulations, while effectively managing model governance and bias mitigation in sensitive decision-making contexts.

Highest-signal resume keywords

Master’s Degree In Data ScienceMachine Learning ExperienceData Manipulation Using PythonUnderstanding Of LGPDBias Mitigation Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ManipulationFeature EngineeringModel EvaluationExploratory AnalysisSQLPythonRecommendation ModelsRanking ModelsSuccess Metrics Definition

Industry Keywords

LGPDBias MitigationPeople AnalyticsModel Drift MonitoringGovernanceAuditingHuman-In-The-Loop WorkflowControlled PilotsAnalytical MVPsFairness Evaluation

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 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

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
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

Comp & perks

Scholarship stipend: BRL 9,000.00
Fully remote work
Availability for 40 hours per week
12-month duration