Senior Data Scientist - Bees Frontline

AB InBev

About AB InBev 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 ABI 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. About BEES As a technology cell of our organization, we have a simple goal: grow. Grow as people, as professionals, as a company. To achieve this, we use technology to create digital solutions that simplify our customers' lives, make their decisions smarter and their businesses more profitable. With offices in São Paulo and Campinas, we encourage our team to participate in major events and significant meetings throughout the year.   Responsibilities: * Leads efforts within the organization to drive the development and maintenance of data services and solutions to support products, downstream services, or infrastructure tools and platforms used across BEES. * Design efficient data models and understand concepts such as normalization, denormalization, and dimensional modeling. * Implement improvements in architecture and processes to improve the performance, monitoring, and evolution of data products. * Develop and maintain data ingestion, processing, control/security, and data provisioning processes for different consumers (services, front-end, among others). * Contribute to obtaining knowledge in the business context and creating new data products to meet their strategic and operational needs.   Requirements and qualifications: * Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar; * Advanced English; * Assess scalability, reliability, security, and compliance implications of data pipeline designs. * Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud. * Evaluate programming solutions in Python, PySpark, Scala, and SQL for data processing and analysis. * Evaluate data quality processes and controls to ensure accuracy and completeness. * Apply debugging techniques to identify and resolve cross-module issues. * Implement monitoring, alerting, and failure handling mechanisms in architecture designs. * Assess effectiveness of CI/CD principles and practices in automated pipelines. * Design, develop, and maintain APIs for data exchange between applications. * Apply Agile practices to plan, execute, and deliver data engineering tasks and projects.   Soft Skills: * Logical reasoning and analytical skills; * Meeting deadlines and quality of work; * Effective and transparent dialog with other areas and co-workers; * Ability to communicate and interpersonal relationships to to present cases and discuss them with other areas involved; * Being independent in activities; * Work as part of a team, promoting a good relationship with the team;   Differentials: * Evaluate data pipeline solutions for latency, throughput and accuracy. * Analyze data requirements and business needs to inform data modeling decisions. * Understand the principles and assumptions of different machine learning capabilities. * Integrate data sets with visualization tools to create insightful reports and dashboards   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

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

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 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 and the companies that service them, unlocking new growth opportunities for all. With offices in São Paulo and Campinas, we encourage our team to participate in major events and significant meetings throughout the year. The Team: BEES is the team driving AI strategy at BEES by building end-to-end products to serve our teams, customers, and partners across the globe. The organization is a cross-functional blend of AI/ML teams from Applied Research and Machine Learning Engineering to Machine Learning Platform Product Management. Together, the team is responsible for building the tools and products needed to deliver world-class AI/ML capabilities.  As a member of the BEES Fintech Data Science team, you will develop data-driven solutions for credit risk, underwriting, portfolio optimization, pricing, and decisioning systems that operate at scale and directly impact real-time credit decisions. What you'll do: * Be part of a high-impact fintech data science team building ABIs credit models, credit decisioning systems, and ML-powered infrastructure that drive billions of dollars in credit transactions annually for millions of users worldwide. * Design, develop, and deploy statistical and machine learning models across the full lifecycle — from research and experimentation to production — with a focus on credit risk, underwriting, portfolio optimization, and experimentation. * Write a substantial amount of production-grade code while conducting deep analytical and statistical research, translating theory into practical improvements in live credit systems. * Lead and contribute to experimentation and model evaluation (offline analysis, simulations, and online tests), ensuring models are robust, explainable, and aligned with regulatory, risk, and business constraints. * Work with industry-leading technologies and modern ML platforms, building scalable modeling and data workflows that operate reliably at global scale. * Collaborate closely with exceptional engineers, product managers, analysts, and business stakeholders. * Continuously explore and adopt state-of-the-art methods in statistics, machine learning, and optimization, raising the technical bar and shaping best practices across the fintech data science organization. What you'll need: * Strong foundation in mathematics and statistics. * Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field; Master’s preferred; PhD a plus. * Experience or strong familiarity with experimentation frameworks, model validation, and rigorous evaluation, ideally in high-stakes decision systems. * Proven ability to apply machine learning and statistical models in production, balancing accuracy, stability, explainability, and real-world constraints. * Proficiency in Python for analysis, modeling, and production workflows; experience with distributed data processing (e.g., Spark / PySpark) is a plus. * Experience with modern ML development practices, including version control, CI/CD, and reproducible research and modeling workflows. * Strong proficiency using AI coding agents and developer tools in a controlled, thoughtful, and production-oriented way to accelerate development without compromising quality. * Creative, curious, and independent thinker who challenges assumptions, proposes novel approaches, and reasons deeply about complex systems. * Excellent communication skills, able to clearly explain complex models and results 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 * 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