Ambev

Events

• Manage the administrative and purchasing workflow for events and promotions, ensuring end-to-end vendor contracting, approval, payment, and management.
• Manage and track tickets related to Events, Promotions, and Brand ACT, following up on requests and interacting with stakeholders and vendors.
• Conduct spot negotiations with vendors.
• Execute purchasing processes through service requests (PSS), including approvals, submission of billing information, and follow-up through completion.
• Participate in meetings with partner teams to align on requests, priorities, process status, and next steps.
• Open, track, and update contracts in the Ariba and Netlex platforms.
• Support payment processes, vendor onboarding, and the resolution of operational issues.
• Analyze budgets, identifying opportunities for savings, scope adjustments, and improvements to procurement engagements.
• Manage activities related to trade promotions, including tracking promotional mechanics, documentation, fees, and audits in corporate systems.
• Support the resolution of operational issues related to SAP S/4HANA.
• Ensure the organization, control, and tracking of requests under your responsibility.

Junior Analyst – Events & Promotions

Machine Learning Engineer

• Develop, deploy, and continuously improve machine learning models for Zé Delivery.
• Build and maintain data, feature, training, and inference pipelines at scale.
• Develop recommendation and personalization solutions for different stages of the customer journey.
• Monitor the performance, quality, and stability of models in production.
• Define and analyze experiments, A/B tests, and impact metrics.
• Partner with Data, Engineering, Product, and Business teams.
• Serve as a technical reference and support the development of more junior professionals.
• Contribute to an inclusive, diverse, collaborative, and technology-driven culture at Ambev.

Frontend Engineer

• Maintain alignment with Engineering leadership on decentralized technical decisions
• Support the squad in making technical decisions and creating standards
• Communicate and develop ideas, as well as raise issues with technical and non-technical audiences
• Actively contribute to the Frontend Chapter by sharing technical knowledge and proposing improvements
• Support the career development of other developers
• Identify, prioritize, and resolve technical debt and bugs

Mid-Level Frontend Developer

Data Scientist

• Work within the Revenue squad to optimize coupons, discounts, and campaigns, maximizing purchase conversion.
• Analyze price perception and customer behavior to identify opportunities for improvement.
• Balance commercial appeal, customer experience, and revenue generation.
• Develop and enhance prediction models for Zé Delivery.
• Create and maintain data pipelines and features in PySpark to support models at scale.
• Develop product and offer recommendation strategies throughout the customer journey.
• Define, execute, and analyze A/B tests to assess the impact of models and campaigns.

Senior Data Scientist

• Work within the Revenue squad to optimize coupons, discounts, and campaigns, maximizing purchase conversion.
• Analyze price perception and customer behavior to identify opportunities for improvement.
• Balance commercial appeal, customer experience, and revenue generation.
• Develop and enhance predictive models for Zé Delivery.
• Build and maintain data pipelines and features in PySpark to support models at scale.
• Develop product and offer recommendation strategies throughout the customer journey.
• Define, run, and analyze A/B tests to evaluate the impact of models and campaigns.
• Translate analytical models into business decisions and impact on key metrics.

Data Engineer

• Act as a Mid-Level Data Engineer at Zé Labs, with the autonomy to lead Data Engineering and Analytics Engineering initiatives within the squad.
• Increase the team’s autonomy over pipelines, ingestion, data quality, and observability.
• Ensure that data for analytical products is available, reliable, documented, and sustainable.
• Build and maintain analytical models with Analytics Engineers, including the Silver layer and semantic layer.
• Develop, maintain, and enhance data pipelines.
• Integrate data from relational databases, events, messaging systems, and files.
• Structure and process data in the Bronze layer.
• Increase Zé Labs’ autonomy over pipelines and processes dependent on the corporate Data team.
• Define, review, and validate the infrastructure for jobs, workflows, and pipelines.
• Review code and technical solutions, promoting engineering best practices.
• Guide and support more junior professionals.
• Implement and improve logs, metrics, alerts, and monitoring of pipeline health.
• Investigate failures, inconsistencies, and performance issues.
• Implement error handling, retries, idempotency, reprocessing, and backfills.
• Document sources, pipelines, models, business rules, dependencies, and data contracts.
• Contribute to SLAs, refresh criteria, and data quality standards.
• Assess downstream impacts before making changes to schemas, pipelines, or models.
• Participate in prioritizing and organizing the technical backlog with the Data Manager/Data PM.
• Participate in technical discussions with Data Engineering, Platform Engineering, and stakeholders.