AB InBev logo
AB InBev

To a Future With More Cheers

Senior Data Scientist

Data ScientistData ScientistFull TimeRemoteSeniorTeam 10,001+H1B No SponsorCompany SiteLinkedIn

Location

Belgium

Posted

4 days ago

Salary

0

Seniority

Senior

Bachelor DegreeEnglishPySparkPythonSpark

Job Description

Senior Data Scientist

AB InBev

• 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.

Job Requirements

  • 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.

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

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