Data Science Lead Analyst

• Conducts strategic data analysis, identifies insights and implications and makes strategic recommendations
• Develops data displays that clearly communicate complex analysis
• Mines and analyzes data from various banking platforms to drive optimization and improve data quality
• Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
• Consults with business clients to identify system functional specifications
• Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals
• Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
• recommends solutions
• Leads system change process from requirements through implementation
• Provides user and operational support of application to business users
• Formulates and defines systems scope and goals for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
• Develops methodologies to integrate new data into existing models
• Manages and monitors project success
• Supervises quality and relevance of new data integration
• Partners with external data providers
• Monitors experimentation projects and their outcomes.

• MBA or Advanced Degree Information Systems, Business Analysis / Computer Science
• 6-10 years experience using tools for statistical modeling of large data sets
• Process Improvement or Project Management experience
• Bachelor’s/University degree or equivalent experience, potentially Masters degree
• Licenciatura en Economía, Estadística, Informática o áreas afines
• Al menos 7 años en puestos relacionados con análisis de datos, ciencia de datos, desarrollo de modelos de Machine Learning e Inteligencia Artificial
• Conocimiento en SAS // Phython- SQL (Avanzado)
• Cientifico de Datos (Modelos)
• Desarrollo estadística y econometría

Inteligencia Artificial Generativa