Remote Senior Data Scientist — Portfolio AI/ML Architect

remote work; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

AB InBev BEES Applied Science is building end-to-end AI/ML products for portfolio optimization, recommendations, forecasting and insights globally. This role focuses on designing and deploying advanced ML/DL models and scalable data processing workflows across cloud platforms.

You will mentor junior and mid-level data scientists, stay current with ML/DL advances, and translate business needs into technical solutions through collaboration with cross-functional teams.

Qualifications

• Bachelor's degree in a quantitative field; Master’s preferred, PhD a plus.
• Proven experience applying ML and statistical modeling in production with measurable impact.
• Strong communication skills for diverse stakeholders.
• Experience with experimentation frameworks, model validation and evaluation.
• Proficiency in Python and distributed processing (Spark / PySpark); CI/CD and reproducible workflows.

Responsibilities

• Design and deploy advanced ML/DL algorithms for portfolio optimization, recommendations, personalization and insights.
• Ensure solutions are robust, scalable and aligned with business goals while mentoring junior and mid level data scientists.
• Stay current with ML/DL advances and incorporate frontier techniques to solve complex problems.
• Architect and optimize large scale data processing workflows on cloud platforms such as Azure, Databricks and Spark.
• Guide best practices in data pipelines and modeling workflows using Python and PySpark.
• Collaborate with cross functional teams to translate business needs into technical requirements and deliver end to end solutions.

Skills

ML/DS expertise

Python / Spark

Experimentation & validation

Communication skills

CI/CD / reproducible workflows

Education

Bachelor's degree in quantitative field

Master’s degree preferred

PhD a plus

Tools

Spark

PySpark

Azure Databricks

Job description

AB InBev BEES Applied Science is building end-to-end AI/ML products for portfolio optimization, recommendations, forecasting and insights globally. This role focuses on designing and deploying advanced ML/DL models and scalable data processing workflows across cloud platforms.

You will mentor junior and mid-level data scientists, stay current with ML/DL advances, and translate business needs into technical solutions through collaboration with cross-functional teams.