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The Data Product Manager will develop and own the Data Tracking product strategy, collaborating with stakeholders to align roadmaps with business priorities. Responsibilities include leading cross-functional teams, utilizing data for decision making, designing data flows for backend services, and enhancing data processes while monitoring event creation and mapping data architecture.

The Global Product Strategy Specialist will shape product vision and strategy, prioritize the product backlog, collaborate with stakeholders, enhance algorithms, and oversee data analytics and performance tracking to drive improvements and align with strategic objectives.

As a Senior Data Scientist at BEES, you will develop innovative solutions for complex business challenges using machine learning and deep learning algorithms. You'll work with large datasets on cloud platforms to deliver scalable solutions and collaborate with cross-functional teams to drive AI strategy.

As a Data Scientist at BEES, you will develop and implement machine learning algorithms for portfolio optimization, recommendations, and insights discovery. Collaborate with cross-functional teams to analyze datasets, leverage cloud platforms for big data processing, and automate workflows to enhance productivity.

The Senior Data Engineer will lead the development and maintenance of data services and solutions for BEES. Responsibilities include designing data models, improving system architecture, developing data processing pipelines, and creating data products to meet operational needs. The role also involves monitoring and ensuring the accuracy of data quality processes.

The Logistics Global Specialist at AB InBev will support partners in expanding logistics capabilities, implement logistics solutions, monitor KPIs, suggest performance improvement plans, and communicate with various stakeholders to ensure customer satisfaction and operational efficiency.

This role involves managing customer behavior data across multiple channels and utilizing analytics to generate insights for business decisions. The specialist will develop data pipelines, ensure data governance, and support product teams with integrated data solutions. They will also conduct experiments and continuously improve data practices within the Growth Group.