Senior Data Scientist - Portfolio

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 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 AB InBev Growth Group

Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.

In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.

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 designof 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 stimulatethe 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 optimizelarge-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 ofreliable data pipelines and modeling workflows using Python and PySpark. Introduce automation and reusable components that enhance team productivity and reduce operational overhead.
• Engage proactivelywith 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*
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Discounts on Ambev products*
• School materials assurance
• Language and training platforms

Equal Opportunity & Aff ...

AB InBev Growth Group is proud to be an Equal Opportunity and Aff ...

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.