Senior Data Scientist – BEES Logistics

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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 logistics systems that optimize delivery operations 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 planning, forecasting, and operational decision-making. • Apply advanced techniques such as statistical modeling, optimization, geospatial analytics, and forecasting to improve efficiency, reliability, and cost of delivery operations. • Translate complex real-world logistics constraints into scalable mathematical models and data-driven systems. • Contribute to experimentation and performance evaluation through offline analysis and online testing, ensuring solutions are robust, scalable, and aligned with operational goals. • 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 deliver impactful solutions. • Drive continuous improvement by exploring new methodologies in machine learning, optimization, and applied statistics, raising the technical bar across the organization.

🎯 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, optimization, or advanced analytics to real-world problems in production environments. • Experience with complex systems involving uncertainty, constraints, and large-scale 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: optimization, forecasting, geospatial analytics, or large-scale operational systems. • 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, break down complex problems, and deliver practical, high-impact solutions. • Excellent communication skills, with the ability to explain technical concepts 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 • Medicines discounts • WellHub partnership • Childcare subsidies • Discounts on Ambev products* • Clube Ben partnership • Scholarship* • School materials assurance • Language and training platforms • Transport allowance