• Creating strategic solutions from large amounts of data collected from various sources. • Organizing and analyzing the data, then interpreting the data and communicating the results to Lucet stakeholders. • Performing quantitative analyses, design behavioral health assessments, and apply advanced statistical methods to generate actionable insights. • Ensuring psychometric rigor (reliability, validity, predictive value) and validate models for generalizability and meaningful outcomes. • Partnering with cross-functional teams and external collaborators to design research, gather requirements, and translate findings into business and clinical insights. • Delivering presentations and producing clear, non-technical reports to communicate results, limitations, and strategic recommendations. • Leading and managing data-driven projects, including data cleaning, task delegation, and oversight of analytic workflows. • Identifying opportunities to leverage insights for business impact while staying current on data science advancements.

• Desenvolver modelos e análises diagnósticas, descritivas, preditivas e prescritivas usando técnicas de análise estatística e de machine learning para suporte a decisões data-driven; • Aprimorar continuamente os modelos existentes, para tornar o bom ainda melhor; • Aliar a elaboração de modelos estatísticos complexos a problemas específicos de negócio, garantindo índices cada vez maiores de aprovações automáticas de baixíssimo risco; • Aliar alta qualidade de projetos de modelos com rápida entrega, atendendo as demandas e especificidades de cada segmento; • Atualizar-se constantemente em relação a novas práticas em ciência de dados; • Aplicar técnicas estatísticas de amostragem e modelagem para identificar pontos de melhoria no negócio; • Aplicar técnicas de clusterização para identificar perfil do cliente.

• Develop and maintain machine learning models for supervised and unsupervised learning, time series, reinforcement learning, operations research and/or linear programming • Conduct discovery sessions with business areas to gather requirements, design data solutions, and generate insights from market data and Solar Coca-Cola data • Ensure governance and quality of calculations and implementations • Automate data science workflows using pipelines and workflows in Databricks, ensuring scalability and reliability • Support and monitor consulting engagements for projects prioritized by senior leadership, ensuring knowledge transfer and model internalization • Design end-to-end data and process flows using flowcharts, collaborative tools and stakeholder interviews • Analyze platform and external data sources and integrate relevant insights into models and internal metrics • Lead data science decisions within project squads, ensuring deadlines, technical quality and alignment with strategic objectives

• Structure the Machine Learning and AI area within the Data team, defining the stack, architecture, model governance, and MLOps best practices from the first model through to operating at scale • Develop and put into production predictive models using our proprietary data, focusing on content recommendation, propensity and personalization of the reader's journey (churn, reactivation, next best book, ideal format) • Bring GenAI and AI agents into daily operations and product: curation assistants, automation of internal workflows, and conversational experiences that increase engagement and productivity • Recruit, train, and develop the team of data scientists, playing a leading role in building the team that will grow with you • Work closely with Data Engineering, Analytics, Product, Growth, and Software Engineering to integrate models into products, the CRM, and business decisions, closing the full cycle from training to monitoring, retraining, and measuring impact on metrics such as D28, MAU and minutes consumed