Senior Full-Stack Data Scientist - Growth Algorithms
Core
Design and deploy machine learning algorithms to optimize client acquisition, retention, and reactivation programs in retail.
Role type
Senior Full-Stack Data Scientist (Growth Algorithms)
Builds
Client acquisition, retention, and reactivation programs via Next Best Action modeling and marketing optimization.
Domain
Retail / Personalization / Growth Marketing
Deliverable
production ML models
Required skills
Machine learning algorithm design and deployment, Python application development, large-scale distributed dataset management, online A/B testing design and interpretation, Next Best Action modeling, marketing optimization via CRM and paid media, AI-assisted coding, agentic product solutions
Preferred skills
Master's Degree or PhD, experience in retail personalization (recommendation systems or search)
Technologies
Python, LLMs, CRM, paid media platforms
Responsibilities
Design experiments to test new features and communicate results to stakeholders, optimize client journeys through Next Best Action modeling, leverage decade-old client and merchandise data, collaborate with product, design, and engineering partners on roadmaps for new client products and infrastructure
Seniority
Senior, hands-on IC
