DATA SCIENTIST III

Develop and scale fraud prevention intelligence to contain financial losses and reduce chargebacks. Identify weaknesses in protection layers and propose corrective and preventive actions. Design, implement, and evolve recommendation models for various use cases, ensuring performance and quality of solutions.

Proficiency in statistics and experience with Machine Learning applied to fraud detection. Fluency in Python with ML libraries (Scikit-learn, XGBoost). Strong SQL skills for handling large data volumes (Spark, Databricks, BigQuery).

The position offers a fixed salary and a variable compensation package based on eligibility. Benefits include health and dental plans, virtual healthcare, meal and food allowances, childcare assistance, and a home office subsidy for hybrid or remote contracts.