---
title: 'Senior Data Scientist - Portfolio at BEES'
canonical: 'https://feeny.ai/job/senior-data-scientist-portfolio-bees-campinas-sao-paulo-a9hjnaxqv3rc'
type: 'job'
last_seen: '2026-10-31'
---

# Senior Data Scientist - Portfolio at BEES

- **Company:** BEES
- **Location:** Campinas São Paulo, Brazil
- **Posted:** 2026-10-28
- **Last confirmed live:** 2026-10-31
- **Apply:** https://job-boards.greenhouse.io/bees/jobs/8920272002

## Job description

## About BEES

Join us to build the future of B2B commerce!

BEES is AB InBev’s B2B platform. Through our ecosystem, merchants and retailers across 30 countries can stock their businesses quickly, easily, and securely. At BEES, we dream big, lead with purpose, and develop technology that transforms the way retailers and sellers grow.

Every line of code and every partnership is built in service of a single mission: to make commerce better for retailers and sellers around the world. Here, your work is not just important. It makes a difference!

About the role:

The Team: BEES is the team driving AI strategy at BEES by building end-to-end products to serve our teams, customers, and partners across the globe. The organization is a cross-functional blend of AI/ML teams from Applied Research and Machine Learning Engineering to Machine Learning Platform Product Management. Together, the team is responsible for building the tools and products needed to deliver world-class AI/ML capabilities

As a member of BEES Applied Science team, you will develop solutions for challenging business problems in areas such as portfolio optimization, recommendations, personalization, forecasting, segmentation, and insights discovery.

What you will do:

- Collaborate on the design of complex analysis of datasets and the development and deployment of advanced machine learning and deep learning algorithms for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insight discovery. Ensure that solutions are robust, scalable, and aligned with business objectives while mentoring junior and mid-level data scientists.
- Actively stimulate the machine learning and deep learning update on advancements, continuously incorporating cutting-edge techniques to solve complex business problems. Champion the adoption of frontier algorithms to drive innovation and technical excellence across the team’s initiatives.
- Architect and optimize large-scale data processing workflows on cloud platforms such as Azure, Databricks, and Spark, ensuring performance and scalability. Guide best practices in leveraging these platforms to accelerate delivery.
- Support the design and implementation of reliable data pipelines and modeling workflows using Python and PySpark. Introduce automation and reusable components that enhance team productivity and reduce operational overhead.
- Engage proactively with cross-functional teams—including data engineering, product management, and business stakeholders—to translate business needs into technical requirements and deliver impactful, end-to-end solutions. Foster an agile mindset, driving rapid iteration and continuous improvement.

## Qualifications

- Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field; Master’s preferred; PhD a plus.
- Demonstrated success applying machine learning and statistical modeling techniques in production environments to drive measurable business impact.
- Communication skills, with the ability to translate complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders.
- Experience or strong familiarity with experimentation frameworks, model validation, and rigorous evaluation, ideally in high-stakes decision systems.
- Proven ability to apply machine learning and statistical models in production, balancing accuracy, stability, explainability, and real-world constraints.
- Proficiency in Python for analysis, modeling, and production workflows; experience with distributed data processing (e.g., Spark / PySpark) is a plus.
- Experience with modern ML development practices, including version control, CI/CD, and reproducible research and modeling workflows.
- Strong proficiency using AI coding agents and developer tools in a controlled, thoughtful, and production-oriented way to accelerate development without compromising quality.
- Creative, curious, and independent thinker who challenges assumptions, proposes novel approaches, and reasons deeply about complex systems.
- Excellent communication skills, able to clearly explain complex models and results to both technical and non-technical audiences.

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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