Senior Data Scientist

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AB InBev

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10.000+ Mitarbeiter

🏨 Gastgewerbe

📣 Marketing

✈️ Reisen

Hospitality • Marketing • Travel

AB InBev ist ein global tätiges Brauunternehmen, bekannt für sein umfangreiches Portfolio von über 500 Biermarken, darunter ikonische globale und lokale Namen. Verpflichtet zu Nachhaltigkeit und verantwortungsvollem Konsum, blickt das Unternehmen auf ein Erbe von mehr als 600 Jahren zurück. AB InBev strebt ständig nach Innovation im Brauwesen und feiert Bier als Getränk der Mäßigung.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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