Master’s Scholarship Recipient – Data Science, People Analytics

Job not on LinkedIn

🕒 October 15

🇧🇷 Brazil – Remote

💵 R$9k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 18%

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Instituto Euvaldo Lodi

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1969

🤝 B2B

📚 Education

💼 Consulting

B2B • Education • Consulting

IEL - Instituto Euvaldo Lodi is a Brazilian institute linked to the Sistema Indústria (CNI/SENAI/SESI) that supports industry by promoting innovation, workforce development, and stronger ties between companies, universities and research institutions. It provides services such as corporate training, professional qualification, internships and student-business integration, technology and management support, and programs to increase industrial competitiveness and knowledge transfer. IEL operates as a business-facing organization focused on improving industry performance and linking academic and technological resources to companies.

📋 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

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