Develops statistical and machine learning models, analyzes complex datasets, builds trustworthy data assets, and generates insights that support business growth and customer behavior analysis. The role collaborates with stakeholders, data engineers, and architects; leads high-impact projects; informs experimental design; optimizes model performance; and mentors colleagues in data science and machine learning.

Lead and grow a data science team to deliver ML, statistical modeling, and measurement solutions. Partner with cross-functional leaders to prioritize high-impact projects, deploy models to production, automate analytics, and communicate insights to stakeholders while driving department culture and operational best practices.