Data Assessor utilizing best data science practices for member relations improvement. Building and managing machine learning models to derive insights and enhance service effectiveness.
Responsibilities
Promote, together with business areas, the use and application of machine learning to solve problems and improve results;
Build machine learning models capable of identifying business opportunities and improving the member experience using internal and external data;
Organize and maintain the model development lifecycle: development, testing, simulations, deployment to production, presentations, measurement of results, and refactoring;
Generate insights through analytics studies to improve member relationships and meet their needs (member-centered perspective);
Act as a promoter of a data-driven culture within the organization, enhancing and demonstrating results obtained from the use of Data Science across different areas.
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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