About the job
Welcome to BEES
We are BEES! The B2B solution from AB InBev! Through our app, millions of bar owners and small to medium-sized retailers worldwide supply their businesses quickly, easily, and intelligently!
Our mission is to help these folks thrive together with our team! That’s why we always seek new talents to join us in this challenge. After all, at BEES, no one grows alone!
Show me the data
Created in 2020, BEES is part of AB InBev’s B2B strategy, the world’s leading brewery, present in more than 50 countries and known in Brazil as Ambev.
We currently have over 3 million active users on our platform, with over $530 million in GMV.
In addition to the company’s products, like the famous Brahma, Corona, and Guaraná Antarctica, our users also have access to a wide variety of marketplace partner products, making their shopping and management experience even more complete.
To make this magic happen, we have teams spread across offices worldwide. Here in Brazil, we are located in Campinas and São Paulo, two important hubs for our business.
We work in global teams and have a hunger for growth. How about joining the hive and growing with us too?
What you will do
- Collaborate with team members to analyze complex datasets, develop and implement cutting-edge machine learning and deep learning algorithms for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery.
- Stay up to date with the latest advancements in machine learning and deep learning algorithms, ensuring a strong technical foundation to solve complex business problems. Apply frontier algorithms to drive innovation across the team's projects.
- Utilize cloud platforms like Azure, Databricks, and Spark to efficiently process and analyze large-scale datasets. Leverage the full potential of these platforms to deliver scalable and performant solutions.
- Utilize Python/PySpark for data manipulation, analysis, and modeling tasks. Implement automation workflows to streamline processes and enhance productivity using tools and frameworks.
- Collaborate closely with cross-functional teams, including data engineers, business stakeholders, and product managers, to understand project requirements and deliver high-quality solutions. Embrace an agile development approach to iterate quickly and efficient
Qualifications
- Bachelor's degree in computer science, engineering, mathematics, or any quantitative field. A master's degree is a plus.
- Strong technical skills and deep understanding of frontier algorithms in machine learning and deep learning. Familiarity with techniques for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery.
- Proficiency in machine learning frameworks such as TensorFlow or PyTorch. Experience in implementing and deploying models using these frameworks.
- Experience working with cloud platforms such as Azure, Databricks, and Spark for big data processing and analysis.
- Proficiency in Python/PySpark for data manipulation, analysis, and modeling tasks. Strong knowledge of relevant libraries and frameworks.
- Good knowledge of CI/CD tools like Github for version control and collaboration. Familiarity with other collaboration tools is a plus.
- Understanding of workflows and automation tools to streamline processes and enhance efficiency.
What We Offer
- Performance based bonus*
- Attendance Bonus*
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off*
- Health, dental, and life insurance
- Medicines discounts
- WellHub partnership
- Childcare subsidies
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
*Rules applied
