Senior Data Engineer | Bees Personalization

AB InBev

About us AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa. About AB InBev Growth Group Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world. In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft. We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities. About BEES At BEES, our ambition is – and always will be – to put customers at the heart of everything we do, making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers, unlocking new growth opportunities for all. The BEES AI organization drives data science and machine learning strategy across customer-facing products, logistics, fintech, and operations. We build end-to-end intelligent systems that optimize commercial execution, improve customer engagement, and enhance operational efficiency at global scale. As a member of the BEES Frontline Data Science team, you will develop data-driven solutions that power sales force effectiveness, customer coverage strategies, and execution consistency across markets. What you'll do: * Be part of a high-impact data science team building intelligent systems that support sales execution and customer engagement at a global scale. * Design, develop, and deploy machine learning models and optimization solutions across the full lifecycle — from research and experimentation to production — focusing on customer segmentation, visit planning, and execution strategy. * Apply advanced techniques such as statistical modeling, clustering, optimization, and model explainability to generate actionable insights and improve decision-making. * Translate complex commercial and operational problems into scalable data science solutions, incorporating business rules, constraints, and edge cases. * Lead and contribute to experimentation and performance evaluation, ensuring models are robust, interpretable, and aligned with business objectives. * Write production-grade code and build reusable data and modeling pipelines that operate reliably at scale. * Collaborate closely with engineers, product managers, operations teams, and business stakeholders to ensure solutions are effectively integrated into frontline tools and processes. * Drive technical excellence by exploring and applying state-of-the-art methodologies in machine learning, optimization, and analytics. * Ensure model transparency and trust by leveraging explainability techniques and clearly communicating model behavior and trade-offs to stakeholders.  What you'll need: * Strong foundation in mathematics, statistics, and problem-solving. * Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field; Master’s preferred; PhD is a plus. * Proven experience applying machine learning, clustering, optimization, or advanced analytics to real-world problems in production environments. * Experience with complex systems involving uncertainty, business constraints, and large-scale structured and unstructured data. * Proficiency in Python for data analysis, modeling, and production workflows; experience with distributed processing (e.g., Spark / PySpark) is a plus. * Familiarity with at least one of the following domains: customer analytics, route-to-market strategy, or commercial operations. * Experience with model explainability techniques (e.g., SHAP, feature importance, dimensionality reduction methods such as PCA) and interpreting model outputs for business use. * Experience with experimentation frameworks, model validation, and performance monitoring. * Strong understanding of software engineering best practices, including version control, CI/CD, and reproducible workflows. * Ability to work with ambiguity, challenge assumptions, and translate complex business needs into structured analytical solutions. * Excellent communication skills, with the ability to explain complex models, trade-offs, and insights to both technical and non-technical audiences. What we offer  • Performance-based bonus*  • Attendance bonus*  • Private pension plan  • Meal allowance  • Casual office and dress code  • Days off*  • Health, dental, and life insurance plans  • Discounts on medications  • Partnership with WellHub  • Childcare assistance  • Discounts on Ambev products*  • Clube Ben partnership  • Scholarship program*  • School supplies support  • Language learning platforms and training  • Transportation allowance  *Applicable rules apply.

AB InBev

About BEES  Join us to build the future of B2B commerce!  BEES is AB InBev’s B2B platform. Through our ecosystem, merchants and retailers across 29 countries can stock their businesses quickly, easily, and securely.  At BEES, we dream big, lead with purpose, and develop technology that transforms the way retailers and sellers grow.  Every line of code and every partnership is built in service of a single mission: to make commerce better for retailers and sellers around the world. Here, your work is not just important. It makes a difference!  We are looking for Data Product Managers to join our Computer Vision team, playing a critical role at the intersection of business, data science, and engineering. You will own the strategy, execution, and adoption of AI-powered computer vision products used across global markets.  This role requires strong product leadership, fluency in ML-driven products, and the ability to translate complex technical capabilities into business value for commercial and customer stakeholders.  What you'll do: Drive Strategic Alignment  * Partner with global commercial stakeholders across LATAM, US, and Mexico to enable product understanding, drive adoption, and unlock new Computer Vision use cases. * Act as a product evangelist—educating stakeholders on product capabilities, limitations, and roadmap. * Provide regular updates to customers and internal stakeholders on product adoption, model performance, and business impact.   Plan & Prioritize  * Own quarterly product planning in collaboration with Data Scientists, Data Analysts, Data Engineers, ML Engineers and software engineers. * Balance business visibility, technical improvements, and infrastructure evolution when defining priorities. * Continuously assess team capacity and delivery risk to ensure plans are realistic, achievable, and aligned with broader product and business strategy.  Execute & Deliver  * Partner closely with engineering and data teams to execute the quarterly backlog and deliver high-impact Computer Vision capabilities. * Drive delivery of: New Computer Vision use cases Scalable and secure APIs State-of-the-art ML models Comprehensive BI visualization.   * Define Epics and High-Level Requirements (HLRs), leading refinement sessions with a strong focus on: Dashboard visibility User experience (UX) Model behavior and performance  * Lead Agile ceremonies, including daily stand-ups, sprint planning, reviews, and retrospectives.  * Track delivery and performance metrics, producing sprint summary reports with emphasis on: Team productivity Model metrics Usage and adoption trends  Engage Stakeholders  * Maintain strong relationships with technical, commercial, and senior leadership stakeholders. * Present quarterly roadmaps and progress updates with clarity and confidence. * Proactively manage expectations by negotiating scope, timelines, and trade-offs across internal teams and customers.  What you'll need: * Proven experience managing data or ML-driven products, ideally within Data Science Products. * Strong understanding of the ML lifecycle, including data preparation, training, deployment, monitoring, and iteration. * Ability to translate business problems into technical product requirements for ML and AI solutions. * Exceptional written and verbal communication skills, capable of bridging business, engineering, and data science audiences. * Fluent English and Advanced Spanish to collaborate effectively with global teams. * Willingness to work on-site in São Paulo More about you: * Solid background in Product Management or Data Product Management, preferably with ML/AI products. * Hands-on experience writing Epics, High-Level Requirements (HLRs), and technical documentation—documentation is one of your strengths. * Foundational understanding of software architecture, including databases, APIs, and ML models. * Experience working in Agile environments with highly cross-functional teams (Data Science, ML Engineering, MLOps, Backend, Frontend). What We Offer: * Performance based bonus* * Attendance Bonus*  * Private pension plan * Meal Allowance * Casual office and dress code * Days off* * Health, dental, and life insurance * Medicines discounts * WellHub partnership * Childcare subsidies * Discounts on Ambev products* * Clube Ben partnership * Scholarship* * School materials assurance * Language and training platforms * Transport allowance *Rules applied

AB InBev

About us AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa. About AB InBev Growth Group Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world. In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft. We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities. About the role:  We are hiring someone to lead global data products for Route to Market & Contact Strategy, helping define the most effective strategy for frontline sales teams in BEES-enabled markets and driving commercial performance. This person will be responsible for connecting business strategy, data engineering, data science and analytics to build scalable solutions that optimize how the frontline serves customers. The scope includes initiatives such as POC Segmentation, ideal visit frequency, ideal visit day, route execution, POC attributes, BDR productivity KPIs and foundational RTM data assets. A successful candidate combines strong analytical and technical background with product leadership, agile delivery, stakeholder management and the ability to lead large multidisciplinary teams. What you'll do: * Lead the global data product strategy for RTM & Contact Strategy. * Manage a multidisciplinary team of Data Engineers, Data Scientists, and Data Analysts. * Structure and prioritize the squad roadmap, backlog, discovery, and delivery routines using agile methodologies. * Develop and evolve data products, including Score 5, POC Segmentation, Ideal Visit Frequency, Ideal Visit Day, Effective Route, Missing Routes, and global POC attribute databases. * Ensure data pipeline quality, scalability, documentation, monitoring, and governance. * Translate business needs into actionable data products for countries, partners, and global teams. * Define, monitor, and communicate success KPIs related to frontline performance, BDR productivity, coverage, execution, and commercial efficiency. * Partner closely with senior leadership, business teams, technology, commercial operations, countries, and external partners. * Identify opportunities to improve service models, considering local market dynamics, customer segments, costs and business value. What you'll need: * Relevant experience in data product management, analytics, data science or data engineering. * Hands-on understanding of data pipelines, data modeling, data quality, SQL, and PySpark. * Experience leading multidisciplinary teams and working in agile squads. * Ability to translate ambiguous business problems into technical and analytical solutions. * Strong communication skills with both technical and non-technical audiences. * Experience managing senior stakeholders, commercial teams, countries, external partners, or global business units. * Knowledge of sales operations, Route to Market, and commercial productivity is a plus. * Fluent English required; Spanish is a plus. * Location: São Paulo  What We Offer: * Performance-based bonus* * Attendance Bonus*  * Private pension plan * Meal Allowance * Casual office and dress code * Days off* * Health, dental, and life insurance * Medicines discounts * WellHub partnership * Childcare subsidies * Discounts on Ambev products* * Clube Ben partnership * Scholarship* * School materials assurance * Language and training platforms * Transport allowance *Rules applied Equal Opportunity & Affirmative Action: AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.  For more information: www.abinbev.com