Senior Data Scientist - Portfolio
Core
Develop end-to-end AI/ML products for portfolio optimization, recommendations, personalization, forecasting, and insights discovery to serve global business teams and customers.
Role type
Senior Applied Scientist (AI/ML)
Builds
End-to-end AI/ML products and tools for portfolio optimization, recommendations, and personalization
Domain
Consumer Goods (Beer) + AI/ML
Deliverable
production ML models
Required skills
Machine learning, deep learning, statistical modeling, Python, PySpark, distributed data processing, model validation, experimentation frameworks, cloud architecture (Azure, Databricks, Spark), AI coding agents
Preferred skills
PhD in quantitative field, experience with high-stakes decision systems, CI/CD practices
Technologies
Python, PySpark, Azure, Databricks, Spark
Responsibilities
Design complex analysis of datasets and develop/deploy advanced ML algorithms for portfolio optimization and recommendations; Architect and optimize large-scale data processing workflows on cloud platforms; Engage with cross-functional teams to translate business needs into technical requirements; Mentor junior and mid-level data scientists
Seniority
Senior, hands-on IC with mentorship
