Senior Data Scientist Portfolio - Bees Personalization

Abinbev

Campinas, Brazil
**
Advanced machine learning algorithms
Python and pyspark
Azure, databricks, and spark
** AB InBev is seeking a Senior Data Scientist for its Growth Group in Campinas, Brazil, to design and deploy advanced machine learning algorithms for portfolio optimization and personalization. The ideal candidate will have a strong background in data science, machine learning, and experience with cloud platforms, along with exceptional communication skills. **

Job Summary

  • Collaborate on the design of complex analysis of datasets and the development and deployment of advanced machine learning algorithms for portfolio optimization, recommendations, personalization, improve business economics and insight discovery.
  • Ensure that solutions are robust, scalable, and aligned with business objectives. Support the design and implementation of reliable data pipelines and modeling workflows using Python and PySpark.
  • Engage proactively with cross-functional teams—including data engineering, product management, and business stakeholders—to translate business needs into technical requirements and deliver impactful, end-to-end solutions.

Matching Summary

Match Score: 75

** AB InBev is seeking a Senior Data Scientist for its Growth Group in Campinas, Brazil, to design and deploy advanced machine learning algorithms for portfolio optimization and personalization. The ideal candidate will have a strong background in data science, machine learning, and experience with cloud platforms, along with exceptional communication skills. **

Skills & Requirements

Must-have

  • advanced machine learning algorithms
  • Python and PySpark
  • Azure, Databricks, and Spark
  • cross-functional team collaboration
  • data pipelines and modeling workflows

Nice-to-have

  • agile mindset
  • continuous improvement
  • knowledge sharing

Key Requirements

  • Bachelor's degree in quantitative field
  • Master's or PhD preferred
  • Experience applying ML in production
  • Experience mentoring data scientists
  • Experience with cloud platforms

Work Rights

Not specified

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