Master’s/PhD Research Fellow – Research in Data Architecture and AI

Sistema Fibra

. Modernize data architectures using scalable technologies, including cloud, lakehouse, and streaming .

Posted 10/15/2026full-timeOsasco • BrazilMid-LevelSenior💰 R$5,600 - R$8,400 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in modernizing data architectures and developing advanced analytical models using machine learning and generative AI. Proficient in optimizing data pipelines and ensuring data governance for strategic applications across various domains.

Highest-signal resume keywords

Master's Degree in Data ScienceMachine LearningPython (Pandas, NumPy, Scikit-learn, Statsmodels)Cloud Platforms (Azure, AWS, GCP)MLOps (MLflow, Kubeflow, Airflow)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceStatistical ModelingSQLLarge-Scale Data ProcessingData GovernanceModel ValidationData IngestionData ProcessingData Delivery PipelinesGenerative AI

Tools & Technologies

GitCI/CDMLflowKubeflowAirflow

Industry Keywords

CreditFraudCRMInvestmentsDigital ChannelsCustomer ServiceDataOpsAutomationStreamingLakehouse

Tech Stack

Tools & technologies

AirflowAWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Modernize data architectures using scalable technologies, including cloud, lakehouse, and streaming
Create advanced analytical models and engines using generative AI, machine learning, NLP, and probabilistic techniques
Optimize data ingestion, processing, and delivery pipelines
Improve data governance, quality, and reliability for regulatory, analytical, and strategic uses
Develop high-impact use cases in credit, fraud, CRM, investments, digital channels, and customer service
Promote automation and integration through MLOps and DataOps
Work on an innovation project at Bradesco in partnership with Inova Talentos

Requirements

What you’ll need

Fellow profile: Master’s degree
Completed master’s degree in Data Science, Statistics, Computer Science, Engineering, or related fields
Knowledge of data science, statistical modeling, and machine learning
Python (pandas, NumPy, scikit-learn, statsmodels)
SQL and large-scale data processing
Knowledge of cloud platforms: Azure, AWS, and GCP
Knowledge of MLOps (MLflow, Kubeflow, Airflow, or similar tools)
Git, CI/CD, and a strong foundation in statistics and model validation
Availability to work 40 hours per week

Benefits

Comp & perks

Monthly stipend of BRL 5,600 for candidates with a completed master’s degree
Monthly stipend of BRL 8,400 for candidates with a completed PhD
Hybrid work arrangement
12-month duration