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Data Scientist Specialist at RecargaPay. Come Make an Impact on Millions of Brazilians!. At RecargaPay, we’re on a mission to deliver the best payment experience for Brazilian consumers and small businesses — by building a powerful digital ecosystem where the banked and unbanked connect, and where consumers and merchants have a one-stop shop for all their financial needs.. We serve over 10 million users and process more than USD 4 billion annually. We’ve been profitable since 2022 and operate our own credit business. We are an AI-first, 100% remote team, scaling in the rapidly changing Brazilian financial market.. Our goal? Deliver the best payment experience in Brazil for people and small businesses alike.. We value autonomy, ownership, and a bias for action. We’re looking for people who are curious, hands-on, and driven by impact — who want to solve real problems, work with strong teams, and rethink what’s possible.. If you’re ready to do your best work, at scale, with purpose — this is your place.. . Responsibilities. . As a Specialist Data Scientist on Product team, you will be responsible for:. ● Developing and implementing real-time scoring models: Design and implement solutionsto quantify the risk level of transactions and credit operations,. ● Optimizing user onboarding: Build predictive models using internal and third-party data, improving onboarding quality and reducing losses,. ● Transforming our rule engine: Evolve our static rule engine into a dynamic and conditional graph-based rule engine, enabling more intelligent and adaptable rule management,. ● Develop and implement fingerprinting and geographic tracking solutions to improve risk assessment,. ● Leading the adoption of new technologies: Drive the adoption of technologies like Databricks and Data Catalogue in the team, advocating for best practices and facilitating the transition to a more modern and efficient data environment,. ● Data modeling and advanced analytics: Analyze large volumes of transactional, user behavior, and demographic data to identify patterns, trends, and opportunities for improvement in risk assessment,. ● Mentorship and technical leadership: Guide and mentor team members, sharing your experience and knowledge, and leading key projects from a technical perspective,. ● Defining success metrics: Establish clear and relevant metrics to measure the impact of Data Science projects and operational efficiency improvement. ● Demonstrable experience in building and implementing machine learning models,. ● Deep knowledge of classification, regression, and clustering algorithms, as well as feature engineering and model selection techniques, . ● Strong programming skills in Python, SQL, and Spark,. ● Experience with platforms like Databricks, AWS and Azure,. ● Knowledge of relational databases (PostgreSQL) and messaging tools (Kafka, SQS).. ● Experience in developing and implementing real-time scoring,. ● Ability to communicate complex ideas clearly and concisely to technical and non-technical audiences,. ● Analytical mindset and results-oriented, with a strong focus on problem-solving.. ● Passion for innovation and experimentation.. ● Knowledge of data modeling principles and experience in building robust and scalable data models.. ● Strong mathematical skills and ability to optimize complex problems.. . Bonus Points. . ● Experience with graph-based rule engines.. ● Knowledge of fingerprinting and geographic tracking techniques.. ● Expertise in MLOPs. Company Location: Brazil.