Data Scientist I

Job not on LinkedIn

🕒 May 25

🏢🏡 São Paulo – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of PagBank

PagBank

WebsiteLinkedIn

5001 - 10000 employees

Founded 2006

💳 Fintech

🏦 Banking

🤝 B2B

Fintech • Banking • B2B

PagBank is a Brazilian fintech and digital banking platform that offers payment processing and merchant services, including POS card machines (maquininhas), mobile payment solutions, and online payment links. It provides digital accounts for consumers and businesses (Conta Digital and Conta PJ), debit and credit cards, investments (CDB, funds), insurance and payroll solutions, and financing/anticipation products via partner banks. PagBank also supplies business management tools (billing, reconciliation, TEF/PlugPag), developer integrations for online sales, and customer support and partner programs.

📋 Description

• 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

• 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

• 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.

Apply Now

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