Brazil
Pentera
AB InBev
Methodology Lead – CatExpert.ai
Brazil
Brazil
PythonSQLDocker
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ABOUT THE AREA AND THE CHALLENGE
Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?
Methodology Lead – CatExpert.ai
CatExpert.ai is the global Category Management platform of AB InBev, developed internally to generate advanced recommendations for assortment, planogramming, and space optimization for major retailers in over 15 markets worldwide.
We are looking for a Methodology Lead to act as the technical and scientific reference for the solution, leading the design and evolution of the algorithms that drive high-impact business decisions. This is a strategic, highly technical position with strong interface with global leaders, product, engineering, and business teams.
This position is onsite in Campinas/SP and requires advanced English for working in a global environment.
Workplace: Campinas - SP
Job type: Full-time employee
Work model: Onsite
MAIN RESPONSIBILITIES
TECHNICAL AND METHODOLOGICAL LEADERSHIP
- Design, develop, and own the statistical, optimization, and Machine Learning models that support CatExpert.ai functionalities.
- Create and evolve algorithms for:
- Assortment optimization
- Planogram generation and evaluation
- SKU recommendations
- Fair Share of Shelf, space elasticity, and store clustering
- Ensure models are robust, scalable, explainable, and aligned with business indicators (e.g., revenue growth, category share).
AGENTIC AI AND GENERATIVE ARTIFICIAL INTELLIGENCE
- Lead the implementation of Agentic AI workflows, enabling autonomous and multi-step recommendations.
- Evaluate and integrate LLMs-based solutions for generating insights, automatic explanations, and natural language interactions.
- Stay updated on emerging trends and frameworks (LangGraph, AutoGen, CrewAI), proposing practical applications in the product.
DATA AND BUSINESS CONNECTION
- Act in close partnership with global Category Management and market teams.
- Translate complex business problems into well-structured analytical solutions.
- Validate results with stakeholders and iterate quickly to ensure commercial impact.
- Contribute critical insights and knowledge of CPG/FMCG, especially in the retail and category context.
EXECUTIVE INFLUENCE AND COMMUNICATION
- Present methodologies, results, and trade-offs clearly, visually, and business-oriented to senior leadership.
- Create accessible methodological documentation for both technical and non-technical audiences.
- Represent the Analytics area in strategic forums and comparisons with market tools.
PEOPLE MANAGEMENT AND DEVELOPMENT
- Lead and develop a team of 2 to 3 data scientists.
- Define technical direction, review deliverables, and support the team's professional growth.
- Disseminate best practices in modeling, experimentation, and code quality.
REQUIREMENTS
EDUCATION
- Master's or PhD in Statistics, Applied Mathematics, Operations Research, Computer Science, or related fields
- or
- Bachelor's degree with solid experience in advanced Analytics / Data Science.
NECESSARY EXPERIENCE
- Proven experience in developing and deploying analytical models in production, at scale.
- Previous experience in CPG, Retail, or FMCG, with exposure to category management, trade marketing, or retail analytics.
- Experience working with business areas, translating problems and ensuring solution adoption.
- Experience with data or AI products, not just isolated models.
TECHNICAL KNOWLEDGE
- Advanced Python (NumPy, Pandas, Scikit-learn, OOP principles).
- Statistics and modeling: regressions, Bayesian models, hypothesis testing, experimental design.
- Supervised and unsupervised Machine Learning.
- Optimization: linear programming, integer programming, stochastic methods, and heuristics.
- Concepts of Agentic AI, LLMs, RAG, and MLOps.
- SQL and large-scale data manipulation.
BEHAVIORAL COMPETENCIES
- Strategic vision and product mindset
- Strong communication and data storytelling skills
- Ability to work in ambiguous and global environments
- Collaborative, curious, and excellence-oriented profile
- Development and mentorship of technical talent
PREFERRED QUALIFICATIONS
- Experience with Category Management tools (JDA, SpacePlano, ShelfIQ).
- Knowledge in planogramming, space planning, or shelf optimization.
- Azure, Databricks, Spark, Docker, or CI/CD.
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