Sr. Data Scientist

About the job

PURPOSE OF ROLE • As a Senior Data Scientist, you will play a pivotal role in designing and building production-ready data science solutions for AB InBev’s analytics initiatives. You will lead data science efforts, guiding the team to scale and standardize AI-driven solutions across multiple ABI markets. This role requires a mix of hands-on model development, product integration knowledge, stakeholder management, and a vision for driving AI innovation at scale. KEY TASKS AND ACCOUNTABILITIES • Lead and execute end-to-end data science projects from: Data collection and preprocessing, Model development, Deployment, Performance monitoring. • Build robust, reusable Python-based pipelines and contribute to improving code quality and standardization. • Working with Senior Analytics Manager to create project plans, and design analytics roadmap. • Work closely with business stakeholders to understand business context and present complex analytical insights into actionable business strategies to non-technical stakeholders. • Mentor and coach junior data scientists in advanced techniques, code quality, and product integration principles. • Passion for building large-scale, AI-powered products, ensuring seamless integration with business workflows. • Stay updated with emerging trends in AI and data science, continuously improving methodologies and tools.

Requirements

• Python
• Data Science
• Machine Learning
• Analytics
• Stakeholder Management

Qualifications

• Bachelor's or Master's degree in Computer Science
• Information Systems
• Economics
• Artificial Intelligence
• Data Science
• Machine Learning

Preferred Technologies

• Python
• Data Science
• Machine Learning
• Analytics
• Stakeholder Management

Benefits

• Opportunities to grow and unleash potential
• Passionate team

About the company

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.