Senior Data Scientist – Portfolio Optimization & Personalization

AB InBev | Growth Group; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Performance based bonus

Attendance Bonus

Casual office and dress code

Days off

Health, dental, and life insurance

Discounts on Ambev products

School materials assurance

Language and training platforms

Job summary

AB InBev Growth Group is seeking a skilled Applied Scientist to build end-to-end ML solutions for portfolio optimization, recommendations, and forecasting. You will work with a cross-functional team across AI/ML disciplines to deliver robust, scalable models on cloud platforms.

Ideal candidates have strong Python skills, production ML experience, and a passion for innovation. The role emphasizes collaboration with data engineering, product management, and business stakeholders to drive impact.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, or related quantitative field; Master’s preferred; PhD a plus.
• Proven success applying ML and statistical modeling in production to drive measurable business impact.
• Strong communication to translate technical concepts for stakeholders.
• Experience with experimentation frameworks, model validation, and rigorous evaluation in high-stakes systems.
• Production experience applying ML models balancing accuracy, stability, explainability, and constraints.

Responsibilities

• Collaborate on design and analysis of datasets and deploy ML algorithms for portfolio optimization, recommendations, personalization, and insights discovery.
• Advance techniques with frontier algorithms and champion adoption to drive innovation.
• Architect and optimize large-scale data pipelines on Azure, Databricks, Spark; ensure scalability and performance.
• Develop reliable data pipelines and modeling workflows using Python and PySpark; create reusable components.
• Engage cross-functionally to translate business needs into technical requirements and enable end-to-end solutions.

Skills

Python programming

Distributed data processing

Cloud platforms

ML deployment

Communication skills

Education

Bachelor's degree in Mathematics, Statistics, Engineering, or Computer Science

Master's degree preferred

PhD a plus

Tools

Databricks

Spark

Python

Job description

AB InBev Growth Group is seeking a skilled Applied Scientist to build end-to-end ML solutions for portfolio optimization, recommendations, and forecasting. You will work with a cross-functional team across AI/ML disciplines to deliver robust, scalable models on cloud platforms.

Ideal candidates have strong Python skills, production ML experience, and a passion for innovation. The role emphasizes collaboration with data engineering, product management, and business stakeholders to drive impact.