Intermediate Data Scientist - Bees Data
About this role
This Intermediate Data Scientist role at BEES in Campinas, São Paulo, Brazil involves developing advanced machine learning models to support a leading global e-commerce and SaaS platform. The position suits a quantitative professional eager to build scalable analytics solutions using cloud technologies and Python.
Role Overview
BEES is looking for an Intermediate Data Scientist to join the BEES Data Engineering & One department in Campinas, São Paulo, Brazil. The professional will collaborate with cross-functional teams to analyze complex information, build machine learning architectures, and solve critical business challenges. This position centers on applying modern computational techniques to drive innovation within a major global technology and consumer product ecosystem.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
BEES operates as a business-to-business e-commerce and SaaS platform under the AB InBev Growth Group, the innovation and technology development center for the world's leading global brewer. AB InBev manages over 500 beer brands and holds top market positions across North America, Latin America, Europe, Asia, and Africa. The Growth Division focuses on creating new tech businesses, direct-to-consumer platforms, fintech, and venture capital solutions. BEES maintains a commitment to being an equal opportunity and affirmative action employer dedicated to diversity and inclusion.
How to Apply
Interested candidates should visit the official BEES or AB InBev careers page to submit their application for the Intermediate Data Scientist vacancy.
Skills and tech stack
Questions candidates ask
Where is the Intermediate Data Scientist role located?
The position is located in Campinas, São Paulo, Brazil and is not remote.
What educational background is required?
A bachelor's degree in computer science, engineering, mathematics, or any quantitative field is required, while a master's degree is considered a plus.
What technical frameworks and cloud tools are needed?
Applicants should be proficient in TensorFlow or PyTorch, Python and PySpark, and have experience with Azure, Databricks, and Spark.
What benefits are provided by the company?
Provided perks include health, dental, and life insurance, a private pension plan, meal and transport allowances, performance and attendance bonuses, childcare subsidies, discounts on medicines and Ambev products, and scholarship opportunities.
Which department manages this position?
This role sits within the BEES Data Engineering & One department of the ABI Growth Group.