Role purpose:Drive revenue generation, cost efficiency and better customer experience by using retail banking business knowledge and statistical techniques, at the same time guarantee an alignment with business priorities.This role will:- Build and deploy predictive models to improve customer experience and revenue generation by fixing existing models or implement new ones- Develop test model quality and A/B testing framework for customers communications- Work with stakeholders to determine how to use business data for business solutions oriented to: improve customer experience, cost reduction, revenue generation- Constant search of new projects aiming improve customer experience, digital adoption, operating efficiency and fraud- Lead and participate on the design and implementation of analytic products with multidisciplinary teams using agile methodology- Browse and analyze databases to simplify and improve product development and business processes- Search for new data sources and assess their accuracy- Promote usage of open source tools and languages inside the team- Promoter of the Agile methodology and the usage of cloud environment- Active role on driving team collaboration- Make presentations at all level of audiences and forums- Protect the sustainability of the area by guarantee process automation and maintenance, model monitoring, area objectives alignment in daily activities- Deep business understanding- Work close with global teams in order to share or adopt best practicesRequirements**Skills**:Knowledge of machine learning, statistics and data mining techniquesData inquisitiveSolving complex problemsStory telling presentationsProject team managementSelf-managementNegotiations skillsGood communication skills to promote cross team collaborationAbility to learn and master new technologiesPrograming languages R or Python - AdvanceSAS, R & Python - IntermediateQlik Sense - BasicAgile knowledge (intermediate, no certification require)English and Spanish domain