Senior Data Scientist - Portfolio

The role

You will develop solutions for business problems in areas such as portfolio optimization, recommendations, personalization, forecasting, segmentation, and insights discovery. You will design and deploy machine learning and deep learning algorithms and architect large-scale data processing workflows on cloud platforms.

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.
• Ensure solutions are robust, scalable, and aligned with business objectives while mentoring junior and mid-level data scientists.
• Stimulate machine learning and deep learning updates on advancements and champion the adoption of frontier algorithms.
• Architect and optimize large-scale data processing workflows on cloud platforms such as Azure, Databricks, and Spark.
• Support the design and implementation of reliable data pipelines and modeling workflows using Python and PySpark.
• Engage with cross-functional teams to translate business needs into technical requirements and deliver end-to-end solutions.

Required qualifications

• Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field
• Demonstrated success applying machine learning and statistical modeling techniques in production environments
• Communication skills to translate complex technical concepts into clear, actionable insights
• Experience or strong familiarity with experimentation frameworks, model validation, and rigorous evaluation
• Proven ability to apply machine learning and statistical models in production
• Proficiency in Python for analysis, modeling, and production workflows
• 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
• Creative, curious, and independent thinker

Nice to have

• Master’s preferred
• PhD a plus
• experience with distributed data processing (e.g., Spark / PySpark) is a plus

Benefits

• 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

About the company

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. The Growth Group unifies business-to-business, direct-to-consumer, Sales & Distribution, and Marketing teams to drive digital transformation.