---
title: 'Intermediate Data Scientist - Bees Data at BEES'
canonical: 'https://feeny.ai/job/intermediate-data-scientist-bees-data-bees-campinas-sao-paulo-bvyjc28se3xx'
type: 'job'
last_seen: '2026-09-05'
---

# Intermediate Data Scientist - Bees Data at BEES

- **Company:** BEES
- **Location:** Campinas São Paulo, Brazil
- **Posted:** 2026-08-31
- **Last confirmed live:** 2026-09-05
- **Apply:** https://job-boards.greenhouse.io/bees/jobs/8690822002

## Job description

## About us

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.

## About ABI Growth Group

ABI’s Growth Division is the center of innovation and tech development within ABI, which is driving ABI’s growth by developing innovations for the core beer business and creating new hyper-growth tech businesses.

ABI Growth includes the following business lines: BEES (our business-to-business e-commerce and SaaS business, also focused on new technologies), TaDa and Ze Delivery (our direct-to-consumer e-commerce businesses), and several other high-tech divisions, including fintech and venture capital.

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 efficiently.

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

Equal Opportunity & Affirmative Action:

ABI Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

The following fields are optional, but anticipate the information for your registration*.

Remember: your data will never be used as elimination criteria in selection processes. With them, ABI Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.

For more information: [www.bees.com](http://www.bees.com) and [www.abinbev.com](http://www.abinbev.com)

## About BEES

## Company Overview
- **One-liner**: BEES is a global B2B digital commerce platform that connects retailers, brand owners, and distributors through an AI-powered ecosystem spanning ordering, delivery, payments, and insights.
- **Entity Type**: Private (spin-off from AB InBev, co-created with Ambev)
- **Headquarters**: Rotkreuz, Zug, Switzerland
- **Founded**: 2020 (as a digital-first venture from AB InBev)
- **Founders**: Co-created by AB InBev and Ambev (individual founder names not publicly disclosed)

## Core Business
- **Primary industry**: B2B digital commerce platform; IT Services and IT Consulting (per LinkedIn)
- **Target customers**: Small and medium-sized retailers (B2B), brand owners (fast-moving consumer goods), distributors
- **Mission statement**: Making commerce better for retailers and sellers around the world ([bees.com/about](https://www.bees.com/about?noredirect=1))

## Products & Services
- **BEES Ordering**: AI-personalized shopping experience for retailers, with rewards and recommendations ([bees.com](https://www.bees.com/))
- **BEES Deliver**: Optimizes delivery territories, routes, and on-time execution for distributors
- **BEES.ai**: Intelligence layer that transforms data from every touchpoint into smarter selling, execution, and planning
- **BEES One**: Unified mobile app for retailers covering ordering, rewards, and remote sales support
- **BEES Care**: Customer service solution with agent guidance and fast resolution
- **Integrated Payments**: Flexible checkout options and operational efficiency tools
- **Data Connect**: Delivers datasets directly into client systems for better commercial decisions
- **Frontline Effectiveness Services**: Field performance optimization with AI-powered territory planning
- **Integrated Marketing Campaigns**: Coordinated online/offline marketing during key selling moments

## Market Standing
- **Valuation / Market Cap**: Not publicly available (private entity)
- **Key Metrics**:
  - $15B GMV in Q1 2026 ([bees.com](https://www.bees.com/))
  - 36M orders placed in Q1 2026
  - 500+ sellers on platform
  - 200+ brand partners; $49B in annual orders through platform (2024) ([bees.com/about](https://www.bees.com/about?noredirect=1))
- **Notable Investors / Partners**: AB InBev and Ambev are the founding backers; portfolio includes 500 iconic brands (e.g., Budweiser, Stella Artois)
- **Growth Signals**:
  - Active in 28 countries as of 2024
  - Headcount: 468 employees (+2.3% YoY; +19 people); 32 active job postings (+966.7% YoY)
  - Geographical expansion into Africa, APAC; new HQ in Switzerland; offices in Hong Kong, New York, Brazil ([linkedin.com/company/beesb2b](https://www.linkedin.com/company/beesb2b))

## Competitive Advantages
- **Built on AB InBev’s expertise**: Decades of sales and distribution know-how embedded in the platform
- **Direct retail network**: Access to 6+ million small and medium retailers worldwide
- **AI-powered ecosystem**: BEES.ai connects all touchpoints (ordering, delivery, payments, service) for a single route-to-market view
- **Multi-product offering**: Tailored solutions for retailers, brand owners, and distributors within one platform

## Strategic Focus
- **Global expansion**: Continuing to enter new markets in Africa and APAC
- **AI-first transformation**: Deploying AI to personalise recommendations, optimise logistics, and improve commercial execution
- **Deepening partner ecosystem**: Onboarding more brand owners and third-party distributors to digitise route-to-market
- **Scaling payments**: Expanding integrated payment solutions to drive operational efficiency

## Why Work Here
- **Culture**: "We dream big, lead with purpose" – values include "We thrive when the customers thrive", "We put the hive first", "We deal in data not hype", "We are drawn to growth", "We buzz with passion" ([builtin.com/company/bees](https://builtin.com/company/bees))
- **Work location**: Onsite-first – physical offices in Zug (Switzerland), New York (USA), São Paulo, Campinas (Brazil), and Hong Kong (China)
- **Perks & benefits**: Health insurance, dental, family medical leave, generous parental leave, performance bonuses, employee discounts, tuition assistance, apprenticeship programs, legal assistance
- **Diversity, Equity & Inclusion**: Offers diversity-based Employee Resource Groups
- **Engineering culture**: 137 technical staff (16% of total 468) across roles in product, analytics, engineering, and data science ([linkedin.com/company/beesb2b](https://www.linkedin.com/company/beesb2b))
- **Company rating**: 3.3/5 on LinkedIn (641 reviews) – Work-Life 3.2, Compensation 3.5, Culture 3.1, Career 3.2

## Sources
1. [bees.com – Careers](https://www.bees.com/careers)
2. [bees.com – About](https://www.bees.com/about?noredirect=1)
3. [bees.com – Home](https://www.bees.com/)
4. [linkedin.com/company/beesb2b](https://www.linkedin.com/company/beesb2b)
5. [builtin.com/company/bees](https://builtin.com/company/bees)

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