Data Scientist Expert - Credit & Collections

Investigate and frame problems related to credit performance and decision-making. Design and analyze experiments, defining test groups and success metrics. Build and evolve models and strategies, collaborating with engineering to implement solutions. Monitor existing models for performance and stability, making adjustments as necessary.

Solid experience with ML models in production, preferably in credit or financial services. Proficiency in causal inference and experimental design, including A/B testing. Strong foundation in statistics and machine learning, with fluency in Python and SQL.

The company offers a comprehensive benefits package including health and dental insurance, extended parental leave, and a birthday day off. Additional perks include a baby on board program, childcare assistance, and wellness services.