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PagBank

Data Scientist I

PagBank

Lead Data Scientist responsible for advancing analytics and machine learning in financial risk at PagBank. Collaborating to connect data insights with business strategies for decision-making.

Posted 5/25/2026full-timeSão Paulo • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact
  • Responsible for leading and advancing advanced Analytics and Machine Learning solutions applied to risk (credit, fraud, AML and collections), connecting data and models to the business strategy, with a strong focus on modeling, feature creation (feature engineering) and decision-making.
  • Provide technical leadership for strategic modeling and Advanced Analytics projects.
  • Develop features and advanced predictive models (credit scoring, fraud detection, collections, etc.).
  • Build frameworks and best practices for the development and monitoring of features and models.
  • Work closely with business stakeholders to translate problems into analytical solutions.
  • Contribute to business studies, hypothesis testing and AI/ML initiatives.

Requirements

What you’ll need
  • Proficiency in Python and SQL (Spark is a strong plus).
  • Solid foundation in statistics and applied machine learning.
  • Experience with feature creation and exploratory data analysis.
  • Experience with classification models (GBM, XGBoost, Random Forest, etc.).
  • Experience with feature engineering and feature stores.
  • Experience with model monitoring and model lifecycle (MLOps).
  • Experience with large-scale data and Cloud environments (AWS / GCP / Azure).
  • Experience building risk models (credit, fraud or anti-money laundering - AML).

Benefits

Comp & perks
  • Meal allowance and/or meal voucher.
  • Health and dental insurance.
  • Life insurance.
  • Partnerships with TotalPass and ZenKlub.
  • Extended maternity and paternity leave.
  • Childcare assistance.
  • Up to 50% discounts on postgraduate and MBA programs at major institutions such as FIA, FAAP and PUCRS.
  • No dress code: the important thing is to wear what makes you comfortable.
  • Birthday day off.
  • Baby gift for newborns.

ATS Keywords

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Hard Skills & Tools
PythonSQLSparkstatisticsapplied machine learningfeature engineeringclassification modelsGBMXGBoostRandom Forest
Soft Skills
technical leadershipproblem translationcollaboration