[Remote] Senior Data Scientist - BEES Logistics

Note: The job is a remote job and is open to candidates in USA. AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. They are seeking a Senior Data Scientist to develop data-driven solutions that optimize delivery planning, operational efficiency, and customer promise accuracy across multiple markets within the BEES Logistics Data Science team.ResponsibilitiesBe part of a high-impact data science team building intelligent logistics systems that optimize delivery operations at a global scaleDesign, 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-makingApply advanced techniques such as statistical modeling, optimization, geospatial analytics, and forecasting to improve efficiency, reliability, and cost of delivery operationsTranslate complex real-world logistics constraints into scalable mathematical models and data-driven systemsContribute to experimentation and performance evaluation through offline analysis and online testing, ensuring solutions are robust, scalable, and aligned with operational goalsWrite production-grade code and build reusable data and modeling pipelines that operate reliably at scaleCollaborate closely with engineers, product managers, operations teams, and business stakeholders to deliver impactful solutionsDrive continuous improvement by exploring new methodologies in machine learning, optimization, and applied statistics, raising the technical bar across the organizationSkillsStrong foundation in mathematics, statistics, and problem solvingBachelor's degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field; Master's preferred; PhD is a plusProven experience applying machine learning, optimization, or advanced analytics to real-world problems in production environmentsExperience with complex systems involving uncertainty, constraints, and large-scale dataProficiency in Python for data analysis, modeling, and production workflows; experience with distributed processing (e.g., Spark / PySpark) is a plusFamiliarity with at least one of the following domains: optimization, forecasting, geospatial analytics, or large-scale operational systemsExperience with experimentation frameworks, model validation, and performance monitoringStrong understanding of software engineering best practices, including version control, CI/CD, and reproducible workflowsAbility to work with ambiguity, break down complex problems, and deliver practical, high-impact solutionsExcellent communication skills, with the ability to explain technical concepts to both technical and non-technical audiencesBenefitsPerformance based bonus*Attendance Bonus*Private pension planMeal AllowanceCasual office and dress codeDays off*Health, dental, and life insuranceMedicines discountsWellHub partnershipChildcare subsidiesDiscounts on Ambev products*Clube Ben partnershipScholarship*School materials assuranceLanguage and training platformsTransport allowanceCompany OverviewAB InBev is a drink and brewing company that produces and supplies a comprehensive range of beer products. It was founded in 2005, and is headquartered in Leuven, Vlaams-Brabant, BEL, with a workforce of 10001+ employees. Its website is https://www.ab-inbev.com/.Company H1B SponsorshipAB InBev has a track record of offering H1B sponsorships, with 1 in 2025, 3 in 2024, 1 in 2023, 1 in 2022, 3 in 2021, 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.