Senior Data Scientist

Summary

Join RecargaPay's Data Science team as a Sr. Data Scientist and make a significant impact on millions of Brazilians by developing and implementing cutting-edge fraud prevention strategies. Lead the evolution of fraud prevention, using advanced technologies and innovative solutions. You will be responsible for developing real-time fraud scoring models, optimizing user onboarding, transforming the rule engine, implementing fingerprinting and geographic tracking, and leading the adoption of new technologies. This role also involves data modeling, advanced analytics, mentoring junior team members, and defining success metrics. The ideal candidate possesses strong programming skills, experience with big data platforms, and a passion for innovation.

Requirements

• Demonstrable experience in building and implementing machine learning models for fraud and transaction risk prevention
• 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 big data platforms like Databricks and AWS
• 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

Responsibilities

• Developing and implementing real-time fraud scoring models: Design and implement transactional inference solutions to identify and prevent fraudulent activities at the precise moment
• Optimizing user onboarding: Build predictive chargeback 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 fraud rule management
• Implementing fingerprinting and geographic tracking solutions: Develop and implement fingerprinting and geographic tracking systems to improve fraud detection and prevention at the account level
• Leading the adoption of new technologies: Drive the adoption of technologies like Databricks and Data Catalogue in the Fraud 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 fraud prevention
• Mentorship and technical leadership: Guide and mentor junior 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 on fraud reduction and operational efficiency improvement

Preferred Qualifications

• Experience with graph-based rule engines
• Knowledge of fingerprinting and geographic tracking techniques

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