Join RecargaPay’s Data Science team as a Specialist Data Scientist to develop and implement advanced machine learning models and analytical solutions to solve complex credit and transaction risk challenges. The role requires a strong technical background in machine learning, data analysis, and statistical knowledge.
Requirements
- Develop and implement real-time scoring models to quantify the risk level of transactions and credit operations
- Build predictive models using internal and third-party data to optimize user onboarding and reduce losses
- Evolve static rule engines into dynamic, graph-based ones, enabling more intelligent and adaptable rule management
- Lead the adoption of new technologies like Databricks and Data Catalogue, advocating for best practices and facilitating a transition to a more modern and efficient data environment
- Analyze large volumes of transactional, user behavior, and demographic data to identify patterns, trends, and opportunities for improvement in risk assessment
- Develop and implement fingerprinting and geographic tracking solutions to improve risk assessment
- Guide and mentor team members, sharing your experience and knowledge, and leading key projects from a technical perspective
- Monitor and analyze the performance of credit models, focusing on their stability and accuracy
Benefits
- Competitive and market-aligned salary
- Remote work — wherever you are, you’re part of the team!
- Home office allowance through a monthly deposit in the RecargaPay app
- Health and dental plans with no co-pay
- Life insurance
- Flexible meal allowance (via Flash)
- TotalPass membership to take care of your health
- Spanish or Portuguese classes
To apply for this job please visit jobs.workable.com.

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