Intermediate Data Scientist - Bees Data
Core
Develop and implement machine learning and deep learning algorithms for portfolio optimization, recommendations, personalization, promos, segmentation, and insights discovery to support AB InBev's digital products and growth.
Role type
Intermediate machine learning engineer (data science)
Builds
Scalable ML solutions for portfolio optimization, recommendations, and personalization on BEES and other digital platforms
Domain
Consumer goods (beer) + machine learning
Deliverable
production ML models
Required skills
Machine learning algorithms, deep learning, portfolio optimization, recommendations, personalization, Python, PySpark, Azure, Databricks, Spark, TensorFlow, PyTorch, CI/CD
Preferred skills
Master's degree, automation workflows, other collaboration tools
Technologies
Azure, Databricks, Spark, Python, PySpark, TensorFlow, PyTorch, Github
Responsibilities
Analyze complex datasets, implement frontier ML/DL algorithms, utilize cloud platforms for large-scale data processing, collaborate with cross-functional teams, apply agile development approach
Seniority
Intermediate, hands-on IC