Data Scientist Pleno (Crédito)

Requisitos

• Practical experience in statistical inference and applying ML models to business problems
• Proficiency in SQL, Python and Spark for processing and analyzing large datasets
• Experience putting ML models into production (live and batch architectures) and keeping them operational
• Familiarity with credit risk predictive models (application, behaviour or collection), credit metrics and KPIs, focused on credit cards
• Business vision: clearly communicate technical results and translate statistical metrics into business impact

Desejáveis

• Experience with Databricks (Model Serving, Unity Catalog) for ML model development
• Experience with Databricks (Genie Spaces) to build agents automating manual routines
• Experience with other credit products such as receivables anticipation and loans
• Work on default risk models and credit card limit granting
• Practice with hypothesis testing and improvements in structured A/B tests