Data Scientist Advisor - Chapter DS Admisión

Lead the design and development of analytical projects and tools for retail risk management. Develop predictive and prescriptive models using advanced analytics and Machine Learning. Supervise the implementation and documentation of tools in cloud environments, ensuring compliance with audit requirements. Participate in innovation initiatives using technologies like Deep Learning and GenAI.

Bachelor's degree in Statistics, Mechatronics, Systems Engineering, Computer Science, Software Engineering, Economics, Physics, Mathematics, or related fields. Minimum 3 years of experience in Data Science with a focus on risk management. Proficiency in Python and SQL at an intermediate or advanced level. Knowledge of cloud tools (AWS or similar) and methodologies related to Credit Scoring.

Opportunities for continuous development, training, and mentorship. Participate in projects that promote digital transformation in the financial sector.