Senior Data Scientist - BEES Logistics

1 month ago
Full-time
Senior
Data Science and Analytics
AB InBev

AB InBev

AB InBev is the world's largest brewer, committed to bringing people together for a better world. With a diverse portfolio of over 500 beer brands, including global favorites like Budweiser, Corona, and Stella Artois, the company focuses on brewing the...

Beverages
100K+
Founded 2008

Description

  • Develop machine learning models and optimization solutions across the full lifecycle, from research and experimentation to production.
  • Apply statistical modeling, optimization, geospatial analytics, and forecasting to improve delivery efficiency, reliability, and cost.
  • Translate complex logistics constraints into scalable mathematical models and data-driven systems.
  • Contribute to experimentation and performance evaluation through offline analysis and online testing.
  • Write production-grade code and build reusable data and modeling pipelines that operate reliably at scale.
  • Collaborate with engineers, product managers, operations teams, and business stakeholders to deliver impactful solutions.
  • Drive continuous improvement by exploring new methodologies in machine learning, optimization, and applied statistics.
  • Support delivery operations by building data-driven solutions for planning, forecasting, and operational decision-making.

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, optimization, or advanced analytics to real-world problems in production environments.
  • Experience with complex systems involving uncertainty, constraints, and large-scale data.
  • Proficiency in Python for data analysis, modeling, and production workflows.
  • Experience with distributed processing tools such as Spark or PySpark is a plus.
  • Familiarity with at least one of the following domains: optimization, forecasting, geospatial analytics, or large-scale operational systems.
  • Experience with experimentation frameworks, model validation, and performance monitoring.
  • Strong understanding of software engineering best practices, including version control, CI/CD, and reproducible workflows.
  • Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences.

Benefits

  • Performance-based bonus.
  • Attendance bonus.
  • Private pension plan.
  • Meal allowance.
  • Health, dental, and life insurance.
  • Medicines discounts.
  • WellHub partnership.
  • Childcare subsidies.
  • Discounts on Ambev products.
  • Scholarship support.
  • Language and training platforms.
  • Transport allowance.
  • Casual office and dress code.
  • Days off.

Interested in this position?

Apply directly on the company website

Apply Now

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