Data Scientist Specialist

Summary

Join RecargaPay, a leading digital ecosystem in Brazil, and make an impact on millions of users. As a Specialist Data Scientist, you will be responsible for developing and implementing real-time scoring models, optimizing user onboarding, transforming the rule engine, and implementing fingerprinting and geographic tracking solutions. You will also lead the adoption of new technologies, perform data modeling and advanced analytics, mentor team members, and define success metrics. This role requires strong programming skills in Python, SQL, and Spark, experience with platforms like Databricks and AWS, and knowledge of relational databases and messaging tools. RecargaPay offers a competitive salary, remote work, home office allowance, health and dental plans, life insurance, flexible meal allowance, TotalPass membership, and language classes.

Requirements

• 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

Responsibilities

• Developing and implementing real-time scoring models: Design and implement solutions to 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

Preferred Qualifications

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

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