abinbev
Senior Data Scientist - BEES Logistics
At a Glance
- Location
- Remote
- Work Regime
- remote
- Posted
- 2026-06-19T14:15:43-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
Requirements
Proven experience applying machine learning, optimization, or advanced analytics to real-world problems in production environments.
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.
Compensation & Benefits
Performance based bonus*
Attendance Bonus*
Private pension plan
Meal Allowance
Casual office and dress code
Days off*
Responsibilities
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.
About the Company
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.
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.