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Data Scientist Specialist (Lending)

Job Overview

Location

Remote

Job Type

Full-time

Category

Data Science

Date Posted

April 21, 2026

Full Job Description

📋 Description

  • • As a Specialist Data Scientist at RecargaPay, you will lead the development and implementation of advanced machine learning models to solve complex credit and transaction risk challenges, directly impacting the financial inclusion of over 10 million Brazilian users.
  • • Day to day, you will develop real-time scoring models, build predictive models using internal and third-party data, evolve rule engines into dynamic graph-based systems, analyze large datasets for risk patterns, and mentor team members while driving adoption of technologies like Databricks and AWS.
  • • RecargaPay is an AI-first, 100% remote fintech serving over 10 million users and processing more than USD 4 billion annually, profitable since 2022, with a mission to deliver the best payment experience for banked and unbanked Brazilians through a powerful digital ecosystem.
  • • In this role, you will deepen your expertise in credit risk modeling, MLOps, and scalable data systems, while gaining leadership experience in mentoring and shaping the technical direction of a high-impact data science team in a fast-growing, purpose-driven environment.

Skills & Technologies

Python
Express
AWS
Azure
Git
Data Science
Remote

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About RecargaPay

RecargaPay is a leading Brazilian fintech company that offers a comprehensive digital wallet and payment platform. It empowers users to manage their finances, make payments, and access financial services through a mobile app. The platform facilitates bill payments, mobile top-ups, peer-to-peer transfers, and purchases from a wide network of merchants. RecargaPay aims to democratize financial services in Brazil, providing accessible and convenient solutions for everyday transactions and financial management, particularly for the unbanked and underbanked population. Their business model focuses on transaction fees, merchant services, and value-added financial products.

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