Data Scientist Python and R - Python and R

We are looking for a Senior Data Scientist with experience in credit analytics and financial risk to develop and implement Machine Learning models in AWS. Requirements: Professional in Mathematics, Statistics, Economics, Finance, Engineering, Data Science, or related fields. Advanced English. 4 to 7 years of experience in financial modeling, credit risk, or lending. Proficiency in Python, Scikit-Learn, XGBoost, and model deployment in AWS (SageMaker, Lambda, S3, Bedrock). Experience in scorecards, PD, LGD, EAD, WOE/IV, SHAP, LIME, and model validation. Experience in banks, financial entities, or credit fintechs. Handling of data from Experian, Equifax, or TransUnion. Desirable: MLOps, DataRobot, IFRS 9, FCRA/ECOA, and postgraduate studies. Schedule: Availability to work with teams in the United States (Central and Eastern time zones). Modality: Remote. -Requirements- Minimum education: Postgraduate / Master's 3 years of experience Languages: English Knowledge: Machine learning, Python Keywords: scientist, cientifico, data