Senior Data Science Analyst

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September 17

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RecargaPay

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Fintech • Finance • B2C

RecargaPay is a leading all-in-one payment platform in Brazil, dedicated to providing easy and secure access to mobile payments and digital financial services for everyone. The platform enables users to pay bills, recharge transportation and mobile phones, purchase gift cards, and make Pix transactions with credit cards. RecargaPay offers a comprehensive range of financial services, including cashback rewards, small loans, and a digital wallet with daily interest accrual. Additionally, they provide services to businesses, such as free business accounts, payment processing, and marketing solutions. With a focus on accessibility and innovation, RecargaPay strives to change how payments are made in Brazil.

201 - 500 employees

Founded 2010

💳 Fintech

💸 Finance

👥 B2C

💰 $10M Debt Financing on 2022-07

📋 Description

• Develop and implement advanced machine learning models to quantify the risk level of transactions and credit operations, and optimize user onboarding and reduce losses. • Design and conduct complex data analyses on large volumes of transactional, user behavior, and demographic data to identify patterns, trends, and opportunities for model enhancement. • Optimize and maintain existing credit models, ensuring their stability, accuracy, and business impact through continuous monitoring and refinement. • Lead the design and execution of A/B tests and other experiments related to credit decision strategies, translating results into actionable business recommendations. • Build and optimize robust and scalable data pipelines for model training, inference, and performance monitoring. • Contribute to the adoption of best practices in data science, including model documentation, version control (Git), and code quality. • Collaborate with Product team and stakeholders to apply ML solutions that impact user onboarding and credit decisions in a Brazilian fintech context.

🎯 Requirements

• Experience in data science, with a proven track record of independently developing and deploying machine learning models in a production environment. • Programming and Tools: Proficiency in Python, SQL, and Spark; experience with Pandas, NumPy, Matplotlib, and Scikit-learn; familiarity with Databricks, AWS, and Azure; experience with Git for version control. • Analytical Modeling & Machine Learning: Strong experience building and implementing classification, regression, and clustering algorithms; feature engineering and model selection techniques; experience with model explanation techniques. • Data Analysis: Ability to handle large datasets and write efficient, optimized SQL queries; strong experience with exploratory data analysis and evaluating model features. • Statistical Knowledge: Strong understanding of A/B testing and statistics, including experimental design and statistical significance; proficient knowledge of predictive modeling metrics like AUC, KS, precision, and recall. • Other Skills: Knowledge of data modeling principles and experience building robust and scalable data models; analytical mindset and strong mathematical skills. • Innovative Thinking: Applying theoretical knowledge of statistics, economics, and behavioral finance to optimize proposed solutions. • Communication: Ability to translate complex technical findings into actionable business insights and communicate them clearly to both technical and non-technical audiences. • Collaboration: Willingness to work in a collaborative and dynamic environment, actively contributing to team knowledge sharing. • Bonus: Proficiency with PySpark; experience with MLOps and deploying machine learning models into production; familiarity with model monitoring; exposure to Open Finance, credit bureau data, or behavioral features; previous experience in fintechs or financial services companies.

🏖️ 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.