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. About the Role The Senior Data Scientist – Optimization will be responsible for developing solutions at the intersection of Machine Learning and Advanced Optimization, with a focus on multi-objective, lexicographic, and evolutionary methods. This role will tackle strategic challenges related to delivery optimization, freight rate modeling, and minimum order value determination, integrating demand forecasting and large-scale operational constraints. This person will lead the design and implementation of mixed-integer optimization algorithms ensuring that solutions are scalable, interpretable, and directly impact key business metrics. What you'll do: Implement and adapt PaCo (Pareto Ant Colony Optimization) algorithms for integer and mixed-variable optimization problems, addressing multiple objectives and business constraints. Develop and benchmark models based on NSGA-II/III, MOEA/D, Simulated Annealing, CP-SAT, and Mixed-Integer Linear Programming (MILP). Formulate composite objective functions and lexicographic hierarchies to prioritize goals such as logistics cost, service level, and profit margin. Generate short- and mid-term demand forecasts using Machine Learning techniques (regression, ensembles, neural networks, time series) and integrate these forecasts as inputs to optimization models. Build automated pipelines for training, inference, and optimization, ensuring traceability, versioning, and performance using Python, PySpark, MLflow, Docker, and GitHub Actions. Execute and monitor experiments in cloud-based distributed environments (Azure, Databricks), optimizing both computational performance and cost. Collaborate with Engineering, Product, and Operations teams to align business criteria, validate results, and ensure the impact of deployed solutions. What you'll need: Bachelor’s degree in engineering, Computer Science, Mathematics, Statistics, Operations Research, or related fields. A master’s or PhD in a relevant area is a plus. Experience with multi-objective and lexicographic optimization (PaCo, NSGA-II/III, MOEA/D). Familiarity with optimization frameworks such as Pyomo, OR-Tools, PuLP, PyMoo, Gurobi, or CPLEX. Proficiency in Python and PySpark, with solid use of scientific libraries (NumPy, Pandas, SciPy, Scikit-learn). Experience integrating ML models with optimization workflows (e.g., using forecasts as parameters in decision models). Advanced English for working in a global environment. Excellent analytical skills, clear communication, and a focus on impactful results. Nice to Have Experience with route optimization, supply chain, dynamic pricing, or last-mile logistics. Knowledge of hybrid ML OR methods (e.g., learning to estimate optimization parameters). Experience with Azure Databricks, MLflow, Ray, Airflow, or other distributed computing platforms. Publications, patents, or open-source contributions in multi-objective optimization. What We Offer: Performance based bonus* Attendance Bonus* Casual office and dress code Days off* Health, dental, and life insurance Discounts on Ambev products* School materials assurance Language and training platforms Equal Opportunity & Affluent Action AB InBev Growth Group is proud to be an Equal Opportunity and Affluent Action employer. We do not discriminate based upon race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. J-18808-Ljbffr