Master’s Scholarship Recipient – Data Science, People Analytics

Job not on LinkedIn

🔥 1 hour ago

🇧🇷 Brazil – Remote

💵 R$9k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sistema Fibra

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1972

🤝 B2B

🤝 Non-profit

📚 Education

B2B • Non-profit • Education

Sistema Fibra is a civic organization based in Brasília that focuses on enhancing the competitiveness of industries and entrepreneurship through representation and support. It brings together various entities, including Sesi, Senai, and IEL, to promote industrial growth and workforce development in Brazil.

📋 Description

• 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