Data Assessor employing machine learning methods to enhance business relationships. Focused on deriving insights and applying data science principles to improve user experience.
Responsibilities
Promote, together with business areas, the use and application of machine learning to solve problems and improve outcomes;
Build machine learning models capable of identifying business opportunities and enhancing the member experience using internal and external data;
Organize and maintain the model development lifecycle: construction, testing, simulations, deployment to production, presentations, measurement of results and refactoring;
Generate insights through analytics studies to improve member relationships and address their needs (member-centric view);
Act as a promoter of data culture within the organization, improving and demonstrating results achieved through the use of Data Science across various fields.
Requirements
Education: Engineering, Information Systems, Computer Science, Mathematics, Statistics, Business Administration or related fields;
Desired skills and knowledge: supervised and unsupervised modeling; Deep Learning; structured and unstructured data;
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