Senior Data Scientist

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AB InBev

WebsiteLinkedInAll Job Openings

10,000+ employees

👥 B2C

🛍️ eCommerce

B2C • eCommerce • Food & Beverage

AB InBev is a global brewing company known for its extensive portfolio of over 500 beer brands, including iconic global and local names. Committed to sustainability and responsible drinking, the company has a heritage spanning more than 600 years. AB InBev continually seeks innovation in brewing and serves to celebrate beer as a beverage of moderation.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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