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PagBank

Junior Data Scientist

PagBank

. Analyze data to identify risk patterns.

Posted 10/6/2026full-timeSão Paulo • BrazilJuniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in data analysis, predictive modeling, and statistical methods, with proficiency in Python, R, and SQL. Capable of building reports and dashboards while collaborating effectively with business teams to address their analytical needs.

Highest-signal resume keywords
Data AnalysisPredictive ModelingPython ProgrammingSQL ProficiencyApplied Statistics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data StructuringLinear RegressionLogistic RegressionDecision TreesSurvival AnalysisCustomer SegmentationModel Evaluation MetricsCross-ValidationPrompt EngineeringStatistical Analysis
Soft Skills
CollaborationCommunication
Tools & Technologies
AWSAzureGCPSpark
Industry Keywords
Data ScienceRisk AnalysisAnalytical StudiesBusiness Intelligence

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact
  • Analyze data to identify risk patterns.
  • Build reports and dashboards.
  • Support the development of predictive models and analytical studies.
  • Collaborate with business teams to understand their needs.

Requirements

What you’ll need
  • Bachelor’s degree completed or in progress in Statistics, Mathematics, Computer Science, Engineering, or related fields.
  • Intermediate knowledge of Python, R, and SQL, including programming structures and logic.
  • Knowledge of applied statistics and data science, including classification and predictive models.
  • Experience with data structuring and manipulation.
  • Understanding of linear regression, logistic regression, and decision trees.
  • Knowledge of survival analysis and customer segmentation models.
  • Basic knowledge of cross-validation and model evaluation metrics, such as AUC, accuracy, precision, and recall.
  • Basic understanding of LLMs, including GPT, Claude, Gemini, and Llama.
  • Familiarity with Prompt Engineering.
  • Knowledge of model limitations, including hallucinations, context, and bias.
  • Preferred: basic knowledge of Spark for processing large volumes of data.
  • Preferred: basic knowledge of cloud infrastructure (AWS, Azure, or GCP).

Benefits

Comp & perks
  • Meal and/or food allowance.
  • Health and dental insurance.
  • Life insurance.
  • Partnerships with TotalPass and ZenKlub.
  • Extended maternity and paternity leave.
  • Childcare assistance.
  • Discounts of up to 50% on graduate programs and MBAs at leading institutions, such as FIA, FAAP, and PUCRS.
  • No dress code.
  • Birthday day off.
  • Baby Gift: gift for newborns.