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 enhance sales force effectiveness and customer engagement through intelligent systems and machine learning models.

Responsibilities

• 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

Skills

• Strong foundation in mathematics, statistics, and problem-solving
• Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field
• 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 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
• Master's preferred
• PhD is a plus
• 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

Benefits

• 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 withWellHub
• Childcare assistance
• Discounts on Ambev products*
• Clube Ben partnership
• Scholarship program*
• School supplies support
• Language learning platforms and training
• Transportation allowance

Company Overview

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