Mid-level Data Scientist

Pagaleve

Data Scientist developing machine learning models for credit and fraud decisions at Pagaleve. Collaborating across teams to enhance user experience and business impact.

Posted 5/13/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowCloudPythonSQL

About the role

Key responsibilities & impact

Develop, test and refine machine learning models applied to credit, fraud, risk and user behavior.
Explore new techniques, features and analytical approaches with a focus on real business impact.
Participate in the full end-to-end model lifecycle, including design, implementation and maintenance of data and ML pipelines in production, ensuring stability and performance.
Work closely with Engineering, Product and Risk teams to translate business problems into analytical solutions and scalable models.
Perform exploratory analyses, tests, experiments and model performance evaluations.
Monitor business metrics and model performance, helping to identify improvement opportunities.
Contribute to development best practices, versioning and the team’s technical quality.

Requirements

What you’ll need

Prior experience in Data Science, Machine Learning or Analytics.
Solid foundation in statistics, predictive modeling and data analysis.
Experience with Python and machine learning libraries.
Familiarity with supervised models, feature engineering and model evaluation.
Curiosity to explore new approaches and a willingness to learn continuously.
Analytical, pragmatic profile and comfortable working in dynamic environments with rapidly changing contexts.
Good communication skills and ability to collaborate across different teams.
Preferred: Experience in fintech, credit, fraud, risk or payments.
Experience deploying models to production or working with MLOps topics.
Familiarity with gradient boosting, neural networks, Graph Neural Networks or LLMs.
Experience with SQL and large volumes of data.
Experience with Cloud environments.
Knowledge of Airflow, MLflow, Feast or similar tools.
Advanced English proficiency.

Benefits

Comp & perks

Health plan covering 100% of the employee and 75% for the first dependent
iFood Benefits
Day off during your birthday month
Group life insurance
Discount coupons at our partner stores
Remote work model

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdata analysispredictive modelingfeature engineeringmodel evaluationPythonSQLgradient boostingneural networksGraph Neural Networks

Soft Skills

curiosityanalytical skillspragmatic profilecommunication skillscollaboration