Master's/Doctoral 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 modern data architectures, advanced analytical modeling, and machine learning techniques, with a strong focus on data governance and automation through MLOps and DataOps. Proficient in utilizing cloud technologies and statistical methods to drive impactful use cases across various domains.

Highest-signal resume keywords

Master's Degree in Data ScienceMachine LearningPython (Pandas, NumPy, Scikit-learn)Azure (ML Studio, Databricks, Synapse)MLOps (MLflow, Kubeflow)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceStatistical ModelingSQLLarge-Scale Data ProcessingGenerative AINatural Language ProcessingData GovernanceModel ValidationData IngestionData Processing

Tools & Technologies

AWS (SageMaker, S3, Glue, Redshift)GCP (Vertex AI, BigQuery, Dataflow)GitCI/CDDataOps

Industry Keywords

CreditFraudCRMInvestmentsDigital ChannelsCustomer Service

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureBigQueryCloudGoogle 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 use cases
Develop high-impact use cases in credit, fraud, CRM, investments, digital channels, and customer service
Promote automation and integration through MLOps and DataOps
Participate in Bradesco's innovation project in partnership with Inova Talentos

Requirements

What you’ll need

Fellow profile: Master's degree holder
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 Azure (ML Studio, Databricks, Synapse, Data Lake), AWS (SageMaker, S3, Glue, Redshift), and GCP (Vertex AI, BigQuery, Dataflow)
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 Doctoral degree
Remote work mentioned in the header
Hybrid work arrangement
12-month term