Browse All Jobs

BEES is seeking a Chapter Data Scientist to join its Personalization team. The company aims to revolutionize the B2B e-commerce landscape by empowering small and medium-sized retailers with digital solutions. This role involves developing and implementing machine learning algorithms to solve complex business problems. The ideal candidate possesses a strong technical foundation in machine learning and deep learning and experience with cloud platforms like Azure and Databricks.

Responsibilities:

  • Collaborate on analyzing complex datasets.
  • Develop and implement machine learning models.
  • Apply algorithms to drive innovation.
  • Utilize cloud platforms for processing data.
  • Implement automation workflows.
  • Collaborate with cross-functional teams.
  • Iterate quickly using an agile approach.

Requirements:

  • Bachelor's degree in a quantitative field (master's preferred).
  • Strong understanding of algorithms in machine learning and deep learning.
  • Proficiency in machine learning frameworks (TensorFlow, PyTorch).
  • Experience with cloud platforms (Azure, Databricks, Spark).
  • Proficiency in Python/PySpark.
  • Knowledge of CI/CD tools (GitHub).
  • Understanding of automation tools.

What BEES offers:

  • Performance based bonus
  • Attendance Bonus
  • Private pension plan
  • Meal Allowance
  • Health, dental, and life insurance
  • Medicines discounts
  • Childcare subsidies
  • Discounts on Ambev products
  • Scholarship
  • Language and training platforms
  • Transport allowance
Apply

AB InBev Growth Group