We're looking for a Sr. Data Scientist to lead the evolution of our fraud prevention strategies and contribute to the construction of innovative solutions. As a member of our Data Science team, you will be responsible for developing and implementing real-time fraud scoring models, optimizing user onboarding, transforming our rule engine, and leading the adoption of new technologies.
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
Benefits
- Competitive and market-aligned salary
- Remote work
- Home office allowance
- Health and dental plans with no co-pay
- Life insurance
- Flexible meal allowance
- TotalPass membership to take care of your health
- Spanish or Portuguese classes